Models - Alibaba Cloud Model Studio - Alibaba Cloud Documentation Center

Flagship models

International

In the international deployment mode, the endpoint and data storage are located in the Singapore region, and model inference compute resources are dynamically scheduled globally, excluding Chinese mainland.

Flagship model	Qwen-Max Ideal for complex tasks, most powerful	Qwen-Plus Balanced performance, speed, and cost	Qwen-Flash Ideal for simple tasks, fast and cost-effective	Qwen-Coder An excellent code model skilled in tool calling and environmental interaction
Max context window ^(tokens)	262,144	1,000,000	1,000,000	1,000,000
Min input price ^{(per 1M tokens)}	$1.2	$0.4	$0.05	$0.3
Min output price ^{(per 1M tokens)}	$6	$1.2	$0.4	$1.5

Global

In the global deployment mode, the endpoint and data storage are located in the US (Virginia) region, and model inference compute resources are dynamically scheduled globally.

Flagship model	Qwen-Max Ideal for complex tasks, most powerful	Qwen-Plus Balanced performance, speed, and cost	Qwen-Flash Ideal for simple tasks, fast and cost-effective	Qwen-Coder An excellent code model skilled in tool calling and environmental interaction
Max context window ^(tokens)	262,144	1,000,000	1,000,000	1,000,000
Min input price ^{(per 1M tokens)}	$1.2	$0.4	$0.05	$0.3
Min output price ^{(per 1M tokens)}	$6	$1.2	$0.4	$1.5

US

In the US deployment mode, the endpoint and data storage are located in the US (Virginia) region, and model inference compute resources are restricted to the United States.

Flagship model	Qwen-Plus Balanced performance, speed, and cost	Qwen-Flash Ideal for simple tasks, fast and cost-effective
Max context window ^(tokens)	1,000,000	1,000,000
Min input price ^{(per 1M tokens)}	$0.4	$0.05
Min output price ^{(per 1M tokens)}	$1.2	$0.4

Chinese mainland

In the Chinese mainland deployment mode, the endpoint and data storage are located in the Beijing region, and model inference computing resources are limited to Chinese mainland.

Flagship model	Qwen-Max Ideal for complex tasks, most powerful	Qwen-Plus Balanced performance, speed, and cost	Qwen-Flash Ideal for simple tasks, fast and cost-effective	Qwen-Coder An excellent code model skilled in tool calling and environmental interaction
Max context window ^(tokens)	262,144	1,000,000	1,000,000	1,000,000
Min input price ^{(per 1M tokens)}	$0.459	$0.115	$0.022	$0.144
Min output price ^{(per 1M tokens)}	$1.836	$0.287	$0.216	$0.574

Model overview

International

In the International deployment mode, the endpoint and data storage are located in the Singapore region, and model inference compute resources are dynamically scheduled globally, excluding Chinese mainland.

Category	Subcategory	Description
Text generation	General-purpose large language models	Qwen large language models: Commercial: Qwen-Max, Qwen-Plus (upgraded to Qwen3.5), Qwen-Flash Open source: Qwen3.5, Qwen3, Qwen2.5
	Multimodal models	Visual understanding models (Qwen-Plus, Qwen-VL, QVQ), omni-modal model Qwen-Omni, and real-time multimodal model Qwen-Omni-Realtime
	Domain models	Coder models, translation models, role-playing models
Image generation	Text-to-image	Qwen image generation: handles complex instructions, renders Chinese and English text, and generates high-definition realistic images. It also supports selecting different models based on efficiency and quality requirements. Wan text-to-image: Basic text-to-image: Generates high-quality images from a single sentence. Mixed text and image output: Generates a text description followed by a corresponding image to create a continuous "text + image" output. Z-Image: A lightweight text-to-image model that quickly generates high-quality images and supports bilingual rendering (Chinese and English), complex semantic understanding, and multiple artistic styles.
Image generation	Image editing	Qwen image editing: Supports Chinese and English prompt input, enabling complex image-text editing operations such as style transfer, text modification, and object editing. It also supports multi-image fusion, suitable for a wide range of industrial application scenarios. Wan image editing: Suitable for scenarios such as multi-image fusion, style transfer, object detection, image inpainting, and watermark removal. The model series includes: Wan2.6 and Wan2.5.
Speech synthesis and recognition	Speech synthesis (text-to-speech)	Qwen speech synthesis and Qwen real-time speech synthesis enable text-to-speech and are suitable for scenarios such as intelligent voice customer service, audiobooks, in-vehicle navigation, and education tutoring.
Speech synthesis and recognition	Speech recognition and translation	Qwen real-time ASR, Qwen audio file ASR, Qwen3-LiveTranslate-Flash-Realtime, and Fun-ASR enable speech-to-text conversion and are suitable for scenarios such as real-time meeting transcription, real-time live streaming captions, and telephone customer service.
Video generation	Text-to-video	Generates a video from a single sentence, featuring rich styles and fine image quality.
	Image-to-video	First-frame-to-video: Uses an input image as the first frame of the video and generates the video based on the prompt. First-and-last-frame-to-video: You only need to provide the first and last frame images to generate a smooth dynamic video based on a prompt. Multi-image video generation: Supports one or more images, references the entities or background in the images, and generates video using prompts.
	Video-to-video	Reference-to-video: References the character appearance and voice tone from the input video, and combines them with prompts to generate videos that maintain character consistency.
	General-purpose video editing	General video editing: Based on input text, images, and videos, you can perform various video editing tasks. For example, extract motion features from input videos and generate new videos using prompts.
Embedding	Text embedding	Converts text into a set of numbers that represent the text, suitable for search, clustering, recommendation, and classification tasks.

Global

In the Global deployment mode, the endpoint and data storage are located in the US (Virginia) region, and model inference computing resources are dynamically scheduled globally.

Category	Subcategory	Description
Text generation	General-purpose large language models	Qwen large language models: Commercial: Qwen-Max, Qwen-Plus, Qwen-Flash Open source: Qwen3
	Multimodal models	Visual understanding model Qwen-VL
	Domain models	Coder models, translation models
Image generation	Text-to-image	Wan text-to-image: Basic text-to-image: Generate stunning images from a single sentence. Mixed text and image output: It first generates a text description and then immediately generates the corresponding image to achieve seamless text-and-image output.
Image generation	Image editing	Wan image editing: Suitable for scenarios such as multi-image fusion, style transfer, object detection, image inpainting, watermark removal, etc. Model series: Wan2.6.
Video generation	Text-to-video	Generates a video from a single sentence, featuring rich styles and fine image quality.
	Image-to-video	Image-to-video – first frame: Uses an input image as the first frame to generate a video based on a prompt.
	Video-to-video	Reference-to-video: Refers to generating a video that maintains character consistency using the character appearance and voice tone from the input video, combined with prompts.

US

In the US deployment mode, the endpoint and data storage are located in the US (Virginia) region, and model inference compute resources are limited to the United States.

Category	Subcategory	Description
Text generation	General-purpose large language models	Qwen large language models: Commercial (Qwen-Plus, Qwen-Flash)
Text generation	Multimodal models	Visual understanding model Qwen-VL
Video generation	Text-to-video	Generates a video from a single sentence, featuring rich styles and fine image quality.
Video generation	Image-to-video	First frame to video: Uses the input image as the first frame to generate a video based on the prompt.
Speech recognition	Speech recognition	Qwen audio file recognition enables speech-to-text conversion and is suitable for scenarios such as meeting minutes and live captions.

Chinese mainland

In the Chinese mainland deployment mode, the endpoint and data storage are located in the Beijing region, and model inference compute resources are limited to Chinese mainland.

Category	Subcategory	Description
Text generation	General-purpose large language models	Qwen large language models: Commercial: Qwen-Max, Qwen-Plus (upgraded to Qwen3.5), Qwen-Flash Open source: Qwen3.5, Qwen3, Qwen2.5 Third-party models: DeepSeek, Kimi, GLM
	Multimodal models	Visual understanding models (Qwen-Plus, Qwen-VL, and QVQ) and the omni-modal model Qwen-Omni
	Domain models	Coder models, mathematical models, translation models, data mining models, in-depth research models, intention recognition models, role assumption models
Image generation	Text-to-image	Qwen image generation: Excels in handling complex instructions, rendering Chinese and English text, and generating high-definition realistic images. It lets you select different models based on your efficiency and quality requirements. Wanx text-to-image: Basic text-to-image: Generate beautiful images from a single sentence. Mixed text and image output: Generates a segment of text description, followed by the corresponding image, to create a continuous text-and-image output. Z-Image: A lightweight text-to-image model that can quickly generate high-quality images and supports bilingual rendering (Chinese and English), complex semantic understanding, and multiple artistic styles.
Image generation	Image editing	General-purpose models: Qwen image editing: Supports Chinese and English prompt input to perform complex image and text editing operations, such as style transfer, text modification, and object editing. It also supports multi-image fusion and is suitable for a wide variety of industrial application scenarios. Wan image editing: Supports scenarios including multi-image fusion, style transfer, object detection, image inpainting, and watermark removal. The model series includes: Wan2.6, Wan2.5, and Wan2.1. More models: Qwen image translation, OutfitAnyone
Speech synthesis and recognition	Speech synthesis (text-to-speech)	Qwen speech synthesis, Qwen real-time speech synthesis, and CosyVoice speech synthesis support text-to-speech conversion and are suitable for scenarios such as intelligent voice customer service, audiobooks, in-vehicle navigation, and education tutoring.
Speech synthesis and recognition	Speech recognition and translation	Qwen real-time speech recognition, Qwen audio file transcription, Fun-ASR speech recognition, and Paraformer speech recognition convert speech to text and are suitable for scenarios such as real-time meeting transcription, real-time live streaming captions, and call center services.
Video editing and generation	Text-to-video	Generates a video from a single sentence, featuring rich styles and fine image quality.
	Image-to-video	Image-to-video – first frame: Generates a complete video based on an input image as the first frame and a prompt. Image-to-video – first and last frames: Provide first and last frame images and combine them with prompts to generate videos with natural transitions. Multi-image to video: Supports generating a video based on the entity or background from one or more input images and a prompt. Graph + action template generates dance videos: AnimateAnyone generates dance videos from a person image and an action video. Image + audio to generate lip-sync video Wan digital human uses a person's image and audio to generate digital humans with large and natural movements, supports full-body, half-body, and portrait framing options, and is ideal for scenarios such as singing and performing. EMO uses a person's portrait image and audio to deliver excellent lip-sync and facial expression capabilities, supports portrait and half-body formats, and is ideal for close-up character scenarios. LivePortrait uses a person's image and audio, and is suitable for voice announcement scenarios. Graph + Emoji Template generates emoji sticker videos: Emoji Sticker generates facial emoji sticker videos based on face images and preset facial animation templates.
	Video-to-video	Reference-to-video: Generates a video that maintains character consistency by referencing the character's appearance and voice from an input video and using a prompt.
	General video editing	General video editing: Based on input text prompts, images, and videos, you can perform various video editing tasks. For example, you can extract motion features from the input video and combine them with prompts to generate new videos. Video lip-sync replacement: VideoRetalk uses a person's video and audio, and is suitable for scenarios such as short video production and video translation. Video style transfer: Video style transform can convert videos into styles such as Japanese manga and American comics.
Embedding	Text embedding	Converts text into a set of numbers that represent the text, used for search, clustering, recommendation, classification, and more.
Embedding	Multimodal embedding	Converts text, images, and audio into a set of numbers, used for audio/video classification, image classification, image-text retrieval, and more.

Text generation – Qwen

This section covers the commercial versions of the Qwen models. Compared with the open-source versions, commercial models offer the latest capabilities and improvements.

The parameter count for commercial models is not disclosed.

Models are updated periodically. To use a fixed version, you can select a snapshot version. Snapshot versions are typically maintained until one month after the next snapshot version is released.

We recommend using stable or latest versions. These versions have more relaxed rate limiting conditions.

Qwen-Max

The most powerful model in the Qwen series, ideal for complex, multi-step tasks. Usage | Thinking | API reference | Try online

International

In international deployment mode, the endpoint and data storage are both located in the Singapore region. Model inference compute resources are dynamically scheduled worldwide (excluding Chinese Mainland).

Model	Version	Mode	Context window	Max input	Max CoT	Max output	Input cost	Output cost CoT + output	Free quota (Note)
			(tokens)				(per 1M tokens)
qwen3-max Currently qwen3-max-2026-01-23 Part of Qwen3 series Supports calling built-in tools	Stable	Thinking	262,144	258,048	81,920	32,768	Tiered pricing. See details below.		1 million tokens each Valid for 90 days after activating Model Studio
		Non-thinking			-	65,536
qwen3-max-2026-01-23 Thinking mode aka Qwen3-Max-Thinking Part of Qwen3 series Supports calling built-in tools	Snapshot	Thinking			81,920	32,768
		Non-thinking			-	65,536
qwen3-max-2025-09-23 Part of Qwen3 series	Snapshot	Non-thinking only
qwen3-max-preview Part of Qwen3 series	Preview	Thinking			81,920	32,768
		Non-thinking			-	65,536

The models above use tiered pricing based on the number of input tokens in the current request.

Input tokens per request	Input cost (per 1M tokens) qwen3-max and qwen3-max-preview support context cache.	Output cost (per 1M tokens)
0<Token≤32K	$1.2	$6
32K<Token≤128K	$2.4	$12
128K<Token≤252K	$3	$15

More models

Model	Version	Context window	Max input	Max output	Input cost	Output cost	Free quota (Note)
		(tokens)			(per 1M tokens)
qwen-max Currently qwen-max-2025-01-25 Batch calls at half price	Stable	32,768	30,720	8,192	$1.6	$6.4	1 million tokens each Valid for 90 days after activating Model Studio
qwen-max-latest Always the latest snapshot	Latest				$1.6	$6.4
qwen-max-2025-01-25 Also known as qwen-max-0125, Qwen2.5-Max	Snapshot

Global

In global deployment mode, the endpoint and data storage are both located in the US (Virginia) region. Model inference compute resources are dynamically scheduled worldwide.

Model	Version	Mode	Context window	Max input	Max CoT	Max output	Input cost	Output cost	Free quota (Note)
			(tokens)				(per 1K tokens)
qwen3-max Currently qwen3-max-2025-09-23 context cache discount available	Stable	Non-thinking only	262,144	258,048	-	65,536	Tiered pricing. See details below.		None
qwen3-max-2025-09-23	Snapshot	Non-thinking only
qwen3-max-preview Context cache discount available	Preview	Thinking			81,920	32,768
		Non-thinking			-	65,536

The models above use tiered pricing based on the number of input tokens in the current request.

Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens) CoT + response
0<Token≤32K	$1.2	$6
32K<Token≤128K	$2.4	$12
128K<Token≤252K	$3	$15

Chinese Mainland

In Chinese Mainland deployment mode, the endpoint and data storage are both located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Version	Mode	Context window	Max input	Max CoT	Max output	Input cost	Output cost
			(tokens)				(per 1M tokens)
qwen3-max Currently qwen3-max-2026-01-23 Part of Qwen3 series Supports calling built-in tools	Stable	Thinking	262,144	258,048	81,920	32,768	Tiered pricing. See details below.
		Non-thinking			-	65,536
qwen3-max-2026-01-23 Thinking mode aka Qwen3-Max-Thinking Part of Qwen3 series Supports calling built-in tools	Snapshot	Thinking			81,920	32,768
		Non-thinking			-	65,536
qwen3-max-2025-09-23 Part of Qwen3 series	Snapshot	Non-thinking only
qwen3-max-preview Part of Qwen3 series	Preview	Thinking			81,920	32,768
		Non-thinking			-	65,536

The models above use tiered pricing based on the number of input tokens in the current request.

Model	Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens) CoT + response
qwen3-max Batch calls at half price context cache discount available	0<Token≤32K	$0.359	$1.434
	32K<Token≤128K	$0.574	$2.294
	128K<Token≤252K	$1.004	$4.014
qwen3-max-2026-01-23	0<Token≤32K	$0.359	$1.434
	32K<Token≤128K	$0.574	$2.294
	128K<Token≤252K	$1.004	$4.014
qwen3-max-2025-09-23	0<Token≤32K	$0.861	$3.441
	32K<Token≤128K	$1.434	$5.735
	128K<Token≤252K	$2.151	$8.602
qwen3-max-preview context cache discount available	0<Token≤32K	$0.861	$3.441
	32K<Token≤128K	$1.434	$5.735
	128K<Token≤252K	$2.151	$8.602

More models

Model	Version	Context window	Max input	Max output	Input cost	Output cost
		(tokens)			(per 1M tokens)
qwen-max Currently qwen-max-2024-09-19 Batch calls at half price	Stable	32,768	30,720	8,192	$0.345	$1.377
qwen-max-latest Always the latest snapshot. Batch calls at half price	Latest	131,072	129,024
qwen-max-2025-01-25 Also known as qwen-max-0125, Qwen2.5-Max	Snapshot
qwen-max-2024-09-19 Also known as qwen-max-0919		32,768	30,720		$2.868	$8.602

qwen3-max-2026-01-23 thinking mode: Compared to the snapshot from September 23, 2025, it effectively integrates thinking and non-thinking modes, significantly improving overall model performance. In thinking mode, the model integrates three tools-web search, web extractor, and code interpreter-to achieve higher accuracy on complex problems by leveraging external tools during reasoning.

The qwen3-max, qwen3-max-2026-01-23, and qwen3-max-2025-09-23 models natively support search agents. For more information, see web search.

Qwen-Plus

A balanced model with inference performance, cost, and speed between Qwen-Max and Qwen-Flash, ideal for moderately complex tasks.

Usage | Thinking | API reference | Try online

Qwen3.5 Plus supports text, image, and video inputs. It performs on par with Qwen3 Max on plain-text tasks while delivering superior performance at a lower cost. In multimodal capabilities, it delivers significant improvements over the Qwen3 VL series.

International

In the International deployment mode, the endpoint and data storage are located in the Singapore region. Inference computing resources are dynamically scheduled worldwide, excluding Chinese Mainland.

Model

Version

Context window

Max input

Max output

Input cost

Output cost

Free quota

(Note)

(tokens)

(per 1M tokens)

qwen3.5-plus

Thinking enabled by default

Stable

1,000,000

Thinking mode

983,616

Non-thinking mode

991,808

65,536

Max CoT 81,920

Tiered pricing. See details below.

1 million tokens each

Valid for 90 days after activating Model Studio

qwen3.5-plus-2026-02-15

Thinking enabled by default

Snapshot

Thinking mode

983,616

Non-thinking mode

991,808

65,536

Max CoT 81,920

qwen-plus

Currently, qwen-plus-2025-12-01

Part of Qwen3 series

Batch calls at half price

Stable

Thinking mode

995,904

Non-thinking mode

997,952

32,768

Max CoT 81,920

qwen-plus-latest

Currently, qwen-plus-2025-12-01

Part of Qwen3 series

Latest

Thinking mode

995,904

Non-thinking mode

997,952

qwen-plus-2025-12-01

Part of Qwen3 series

Snapshot

Thinking mode

995,904

Non-thinking mode

997,952

qwen-plus-2025-09-11

Part of Qwen3 series

qwen-plus-2025-07-28

Also known as qwen-plus-0728

Part of Qwen3 series

qwen-plus-2025-07-14

Also known as qwen-plus-0714

Part of Qwen3 series

131,072

Thinking mode

98,304

Non-thinking mode

129,024

16,384

Max CoT 38,912

$0.4

Thinking mode

Non-thinking mode

$1.2

qwen-plus-2025-04-28

Also known as qwen-plus-0428

Part of Qwen3 series

qwen-plus-2025-01-25

Also known as qwen-plus-0125

129,024

8,192

$1.2

qwen3.5-plus, qwen3.5-plus-2026-02-15, qwen-plus, qwen-plus-latest, qwen-plus-2025-12-01, qwen-plus-2025-09-11, and qwen-plus-2025-07-28 use tiered pricing based on the number of input tokens in the current request.

Qwen3.5-Plus

Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
0<Token≤256K	$0.4	$2.4
256K<Token≤1M	$0.5	$

Qwen-Plus

Input tokens per request	Input cost (per 1M tokens)	Mode	Output cost (per 1M tokens)
0<Token≤256K	$0.4	Non-thinking mode	$1.2
0<Token≤256K	$0.4	Thinking mode	$4
256K<Token≤1M	$1.2	Non-thinking mode	$3.6
256K<Token≤1M	$1.2	Thinking mode	$12

Global

In the Global deployment mode, the endpoint and data storage are located in the US (Virginia) region. Inference computing resources are dynamically scheduled worldwide.

Model	Version	Mode	Context window	Max input	Max CoT	Max output	Input cost	Output cost CoT + output	Free quota (Note)
			(tokens)				(per 1M tokens)
qwen-plus Currently, qwen-plus-2025-12-01 Part of Qwen3 series	Stable	Thinking	1,000,000	995,904	81,920	Tiered pricing. See details below.		None	32,768
		Non-thinking		997,952	-
qwen-plus-latest Currently, qwen-plus-2025-12-01 Part of Qwen3 series	Latest	Thinking		995,904	81,920
		Non-thinking		997,952	-
qwen-plus-2025-12-01 Part of Qwen3 series	Snapshot	Thinking		995,904	81,920
		Non-thinking		997,952	-
qwen-plus-2025-09-11 Part of Qwen3 series		Thinking		995,904	81,920
		Non-thinking		997,952	-
qwen-plus-2025-07-28 Also known as qwen-plus-0728 Part of Qwen3 series		Thinking		995,904	81,920
		Non-thinking		997,952	-

The models above use tiered pricing based on the number of input tokens in the current request.

Qwen-Plus

Input tokens per request	Input cost (per 1M tokens)	Mode	Output cost (per 1M tokens)
0<Token≤256K	$0.4	Non-thinking mode	$1.2
0<Token≤256K	$0.4	Thinking mode	$4
256K<Token≤1M	$1.2	Non-thinking mode	$3.6
256K<Token≤1M	$1.2	Thinking mode	$12

US

In the US deployment mode, the endpoint and data storage are located in the US (Virginia) region. Inference computing resources are limited to the United States.

Model	Version	Context window	Max input	Max output	Input cost	Output cost	Free quota (Note)
		(tokens)			(per 1M tokens)
qwen-plus-us Currently qwen-plus-2025-12-01-us Part of Qwen3series	Stable	1,000,000	Thinking mode 995,904 Non-thinking mode 997,952	32,768 Max CoT 81,920	Tiered pricing. See details below.		None
qwen-plus-2025-12-01-us Part of Qwen3 series	Snapshot		Thinking mode 995,904 Non-thinking mode 997,952

The models above use tiered pricing based on the number of input tokens in the current request. qwen-plus-us supports Context cache.

Input tokens per request	Input cost (per 1M tokens)	Mode	Output cost (per 1M tokens)
0<Token≤256K	$0.4	Non-thinking mode	$1.2
0<Token≤256K	$0.4	Thinking mode	$4
256K<Token≤1M	$1.2	Non-thinking mode	$3.6
256K<Token≤1M	$1.2	Thinking mode	$12

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoint and data storage are located in the Beijing region. Inference computing resources are limited to Chinese Mainland.

Model

Version

Context window

Max input

Max output

Input cost

Output cost

(tokens)

(per 1M tokens)

qwen3.5-plus

Thinking enabled by default

Batch calls at half price

Stable

1,000,000

Thinking mode

983,616

Non-thinking mode

991,808

65,536

Max CoT 81,920

Tiered pricing. See details below.

qwen3.5-plus-2026-02-15

Thinking enabled by default

Snapshot

Thinking mode

983,616

Non-thinking mode

991,808

65,536

Max CoT 81,920

qwen-plus

Currently, qwen-plus-2025-12-01

Part of Qwen3 series

Batch calls at half price

Stable

Thinking mode

995,904

Non-thinking mode

997,952

32,768

Max CoT 81,920

qwen-plus-latest

Currently, qwen-plus-2025-12-01

Part of Qwen3 series

Batch callsat half price

Latest

Thinking mode

995,904

Non-thinking mode

997,952

qwen-plus-2025-12-01

Part of Qwen3 series

Snapshot

Thinking mode

995,904

Non-thinking mode

997,952

qwen-plus-2025-09-11

Part of Qwen3 series

qwen-plus-2025-07-28

Also known as qwen-plus-0728

Part of Qwen3 series

qwen-plus-2025-07-14

Also known as qwen-plus-0714

Part of Qwen3 series

131,072

Thinking mode

98,304

Non-thinking mode

129,024

16,384

Max CoT 38,912

$0.115

Thinking mode

$1.147

Non-thinking mode

$0.287

qwen-plus-2025-04-28

Also known as qwen-plus-0428

Part of Qwen3 series

Qwen3.5-Plus

Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
0<Token≤128K	$0.115	$0.688
128K≤Token≤256K	$0.287	$1.72
256K<Token≤1M	$0.573	$3.44

Qwen-Plus

Input tokens per request	Input cost (per 1M tokens)	Mode	Output cost (per 1M tokens)
0<Token≤128K	$0.115	Non-thinking mode	$0.287
0<Token≤128K	$0.115	Thinking mode	$1.147
128K<Token≤256K	$0.345	Non-thinking mode	$2.868
128K<Token≤256K	$0.345	Thinking mode	$3.441
256K<Token≤1M	$0.689	Non-thinking mode	$6.881
256K<Token≤1M	$0.689	Thinking mode	$9.175

The models above support Thinking mode and Non-thinking mode. You can switch between the two modes using theenable_thinking parameter. For the models above, if no thinking process is output when Thinking mode is enabled, the model is charged at Non-thinking mode pricing.

More models

Model	Version	Context window	Max input	Max output	Input cost	Output cost
		(tokens)			(per 1M tokens)
qwen-plus-2025-01-25 Also known asqwen-plus-0125	Snapshot	131,072	129,024	8,192	$0.115	$0.287
qwen-plus-2025-01-12 Also known asqwen-plus-0112
qwen-plus-2024-12-20 Also known asqwen-plus-1220

Qwen-Flash

The fastest and most cost-effective model in the Qwen series, ideal for simple tasks. Qwen-Flash uses flexible tiered pricing and is more cost-efficient than Qwen-Turbo. Usage | API reference | Try online | Thinking

International

Model	Version	Mode	Context window	Max input	Max CoT	Max output	Input cost	Output cost CoT + response	Free quota (note)
			(tokens)				(per 1K tokens)
qwen3.5-flash Currently, qwen3.5-flash-2026-02-23 Thinking mode enabled by default	Stable	Thinking	1,000,000	983,616	81,920	65,536	$0.1	$0.4	1 million tokens each Valid for 90 days after activating Model Studio
		Non-thinking		991,808	-
qwen3.5-flash-2026-02-23 Thinking mode enabled by default	Snapshot	Thinking		983,616	81,920
		Non-thinking		991,808	-
qwen-flash Currently, qwen-flash-2025-07-28 Part of Qwen3 series Batch calls at half price	Stable	Thinking		995,904	81,920	32,768	Tiered pricing. See details below.
		Non-thinking		997,952	-
qwen-flash-2025-07-28 Part of Qwen3 series	Snapshot	Thinking		995,904	81,920
		Non-thinking		997,952	-

qwen-flash and qwen-flash-2025-07-28 tiered pricing

Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
0<Token≤256K	$0.05	$0.4
256K<Token≤1M	$0.25	$2

Global

In the Global deployment mode, the endpoint and data storage are located in the US (Virginia) region. Inference computing resources are dynamically scheduled worldwide.

Model	Version	Mode	Context window	Max input	Max CoT	Max output	Input cost	Output cost CoT + response
			(tokens)				(per 1K tokens)
qwen-flash Currently, qwen-flash-2025-07-28 Part of Qwen3 series	Stable	Thinking	1,000,000	995,904	81,920	32,768	Tiered pricing. See details below.
		Non-thinking		997,952	-
qwen-flash-2025-07-28 Part of Qwen3 series	Snapshot	Thinking		995,904	81,920
		Non-thinking		997,952	-

The models above use tiered pricing based on the number of input tokens in the current request. qwen-flash supports context cache.

Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
0<Token≤256K	$0.05	$0.4
256K<Token≤1M	$0.25	$2

US

In the US deployment mode, the endpoint and data storage are located in the US (Virginia) region. Inference computing resources are limited to the United States.

Model	Version	Mode	Context window	Max input	Max CoT	Max output	Input cost	Output cost CoT + response	Free quota (note)
			(tokens)				(per 1K tokens)
qwen-flash-us Currently, qwen-flash-2025-07-28-us Part of Qwen3 series	Stable	Thinking	1,000,000	995,904	81,920	32,768	Tiered pricing. See details below.		None
		Non-thinking		997,952	-
qwen-flash-2025-07-28-us Part of Qwen3 series	Snapshot	Thinking		995,904	81,920
		Non-thinking		997,952	-

The models above use tiered pricing based on the number of input tokens in the current request.

Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
0<Token≤256K	$0.05	$0.4
256K<Token≤1M	$0.25	$2

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoint and data storage are located in the Beijing region. Inference computing resources are limited to Chinese Mainland.

Model	Version	Mode	Context window	Max input	Max CoT	Max output	Input cost	Output cost CoT + response
			(tokens)				(per 1K tokens)
qwen3.5-flash Currently, qwen3.5-flash-2026-02-23 Thinking mode enabled by default Batch calls at half price	Stable	Thinking	1,000,000	983,616	81,920	65,536	Tiered pricing. See details below.
		Non-thinking		991,808	-
qwen3.5-flash-2026-02-23 Thinking mode enabled by default	Snapshot	Thinking		983,616	81,920
		Non-thinking		991,808	-
qwen-flash Currently, qwen-flash-2025-07-28 Part of Qwen3 series Batch calls at half price	Stable	Thinking		995,904	81,920	32,768
		Non-thinking		997,952	-
qwen-flash-2025-07-28 Part of Qwen3 series	Snapshot	Thinking		995,904	81,920
		Non-thinking		997,952	-

The models above use tiered pricing based on the number of input tokens in the current request. qwen3.5-flash and qwen3.5-flash-2026-02-23 are priced as follows. qwen3.5-flash supports context cache and batch calls.

qwen3.5-flash and qwen3.5-flash-2026-02-23 tiered pricing

Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
0<Token≤128K	$0.029	$0.287
128K<Token≤256K	$0.115	$1.147
256K<Token≤1M	$0.172	$1.72

qwen-flash and qwen-flash-2025-07-28 tiered pricing

Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
0<Token≤128K	$0.022	$0.216
128K<Token≤256K	$0.087	$0.861
256K<Token≤1M	$0.173	$1.721

Qwen-Turbo

Qwen-Turbo will no longer receive updates. Replace it with Qwen-Flash. Qwen-Flash uses flexible tiered pricing for more cost-effective billing. Usage | API reference | Try online | Thinking

International

In international deployment mode, the endpoint and data storage are both located in the Singapore region. Model inference computing resources are dynamically scheduled worldwide (excluding Chinese Mainland).

Model	Version	Context window	Max input	Max output	Input cost	Output cost	Free quota (Note)
		(tokens)			(per 1M tokens)
qwen-turbo Currently qwen-turbo-2025-04-28 Part of the Qwen3 series Batch calls at half price	Stable	Thinking 131,072 Non-thinking mode 1,000,000	Thinking 98,304 Non-thinking mode 1,000,000	16,384 Max CoT : 38,912	$0.05	Thinking mode: $0.5 Non-thinking mode: $0.2	1 million tokens each Valid for 90 days after activating Model Studio
qwen-turbo-latest Always the latest snapshot Part of the Qwen3 series	Latest				$0.05	Thinking mode: $0.5 Non-thinking mode: $0.2
qwen-turbo-2025-04-28 Also known as qwen-turbo-0428 Part of the Qwen3 series	Snapshot
qwen-turbo-2024-11-01 Also known as qwen-turbo-1101		1,000,000	1,000,000	8,192		$0.2

Chinese Mainland

In Chinese Mainland deployment mode, the endpoint and data storage are both located in the Beijing region. Model inference computing resources are limited to Chinese Mainland.

Model	Version	Context window	Max input	Max output	Input cost	Output cost
		(tokens)			(per 1M tokens)
qwen-turbo Currently qwen-turbo-2025-04-28 Part of the Qwen3 series	Stable	Thinking 131,072 Non-thinking mode 1,000,000	Thinking 98,304 Non-thinking mode 1,000,000	16,384 Max CoT : 38,912	$0.044	Thinking $0.431 Non-thinking mode $0.087
qwen-turbo-latest Always the latest snapshot Part of the Qwen3 series	Latest
qwen-turbo-2025-07-15 Also known as qwen-turbo-0715 Part of the Qwen3 series	Snapshot
qwen-turbo-2025-04-28 Also known as qwen-turbo-0428 Part of the Qwen3 series

QwQ

QwQ is a reasoning model trained on the Qwen2.5 base and significantly enhanced through reinforcement learning. It achieves performance comparable to the full-capacity DeepSeek-R1 on core metrics, such as AIME 24/25 and LiveCodeBench, and on certain general benchmarks, such as IFEval and LiveBench. Usage

International

Model

Version

Context window

Max input

Max CoT

Max response

Input cost

Output cost

Free quota

(Note)

(tokens)

(per 1M tokens)

qwq-plus

Stable

131,072

98,304

32,768

8,192

$0.8

$2.4

1 million tokens

Valid for 90 days after activating Model Studio

Chinese Mainland

In Chinese Mainland deployment mode, the endpoint and data storage are both located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Version	Context window	Max input	Max CoT	Max response	Input cost	Output cost
		(tokens)				(per 1M tokens)
qwq-plus Currently qwq-plus-2025-03-05 Batch calls at half price	Stable	131,072	98,304	32,768	8,192	$0.230	$0.574
qwq-plus-latest Always the latest snapshot	Latest
qwq-plus-2025-03-05 Also known as qwq-plus-0305	Snapshot

Qwen-Long

This Qwen series model features the longest context window, balanced capabilities, and a low cost. It is ideal for long-text analysis, information extraction, summarization, and classification tasks. Usage | Try online

Note

Only the Chinese Mainland deployment mode is supported. In this mode, the endpoint and data storage are located in the Beijing region, and inference computing resources are limited to Chinese Mainland.

Model	Version	Context window	Max input	Max output	Input cost	Output cost
		(tokens)			(per 1M tokens)
qwen-long-latest Always the latest snapshot Batch calls at half price	Stable	10,000,000	10,000,000	32,768	$0.072	$0.287
qwen-long-2025-01-25 Also known as qwen-long-0125	Snapshot

Qwen-Omni

Qwen-Omni accepts multimodal inputs, such as text, images, audio, and video, and generates text or speech responses. It offers multiple expressive, human-like voice options and supports multilingual and dialect speech output. This makes it suitable for audiovisual chat scenarios, such as visual recognition, emotion sensing, and education. Usage | API reference

International

In international deployment mode, the endpoint and data storage are both located in the Singapore region. Model inference computing resources are dynamically scheduled worldwide (excluding Chinese Mainland).

Model	Version	Mode	Context window	Max input	Max CoT	Max output	Free quota (Note)
			(tokens)
qwen3-omni-flash This model, qwen3-omni-flash-2025-12-01.	Stable	Thinking	65,536	16,384	32,768	16,384	1 million tokens (regardless of modality) Valid for 90 days after activating Model Studio
		Non-thinking		49,152	-
qwen3-omni-flash-2025-12-01	Snapshot	Thinking	65,536	16,384	32,768	16,384
		Non-thinking		49,152	-
qwen3-omni-flash-2025-09-15 Also known as qwen3-omni-flash-0915	Snapshot	Thinking	65,536	16,384	32,768	16,384
		Non-thinking		49,152	-

After the free quota is used up, input and output are billed as follows. The pricing is the same for thinking and non-thinking modes. Audio output is not supported in thinking mode.

Input	Unit price (per 1M tokens)
Text	$0.43
Audio	$3.81
Image/Video	$0.78

Output

Unit price (per 1M tokens)

Text

$1.66 (when input contains text only)

$3.06 (when input contains images, video, or audio)

Text + Audio

This item is not billed in thinking mode.

$15.11 (audio)

Text output is not billed.

More models

Model	Version	Context window (tokens)	Max input (tokens)	Max output (tokens)	Free quota (Note)
		(tokens)
qwen-omni-turbo Currently, the qwen-omni-turbo-2025-03-26 snapshot.	Stable	32,768	30,720	2,048	1 million tokens (regardless of modality) Valid for 90 days after activating Model Studio
qwen-omni-turbo-latest Always uses the latest snapshot. Identical capabilities	Latest
qwen-omni-turbo-2025-03-26 Also known as qwen-omni-turbo-0326.	Snapshot

After the free quota for commercial models is used up, the following input and output billing rules apply:

Enter the billing item.	Unit price (per 1M tokens)
Text	$0.07
Audio	$4.44
Image/Video	$0.21

Output

Unit price (per 1M tokens)

Text

$0.27 (when input contains text only)

$0.63 (when input contains images, video, or audio)

Text + Audio

$8.89 (audio)

Text output is not billed.

Chinese Mainland

In Chinese Mainland deployment mode, the endpoint and data storage are both located in the Beijing region. Model inference computing resources are limited to Chinese Mainland.

Model	Version	Mode	Context window	Max input	Max CoT	Max output	Free quota (Note)
			(tokens)
qwen3-omni-flash Currently qwen3-omni-flash-2025-12-01	Stable	Thinking	65,536	16,384	32,768	16,384	No free quota
		Non-thinking		49,152	-
qwen3-omni-flash-2025-12-01	Snapshot	Thinking	65,536	16,384	32,768	16,384
		Non-thinking		49,152	-
qwen3-omni-flash-2025-09-15 Also known as qwen3-omni-flash-0915	Snapshot	Thinking	65,536	16,384	32,768	16,384
		Non-thinking		49,152	-

After the free quota is used up, input and output are billed as follows. The pricing is the same for thinking and non-thinking modes. Audio output is not supported in thinking mode.

Input Billing Item	Unit price (per 1M tokens)
Text	$0.258
Audio	$2.265
Image/Video	$0.473

Billing Output

Unit price (per 1M tokens)

Text

$0.989 (when input contains text only)

$1.821 (when input contains images, video, or audio)

Text + Audio

This item is not billed in thinking mode.

$8.974 (audio)

Text output is not billed.

More models

Model	Version	Context window	Max input	Max output	free quota Note
		(tokens)
qwen-omni-turbo Provides the same capabilities as qwen-omni-turbo-2025-03-26.	Stable	32,768	30,720	2,048	No free quota
qwen-omni-turbo-latest Always uses the latest snapshot. Same capabilities	Latest
qwen-omni-turbo-2025-03-26 Also known as qwen-omni-turbo-0326.	Snapshot
qwen-omni-turbo-2025-01-19 Also known as qwen-omni-turbo-0119.

The input and output billing rules are as follows:

Billing Item	Unit price (per 1M tokens)
Text	$0.058
Audio	$3.584
Image/Video	$0.216

Output

Unit price (per 1M tokens)

Text

$0.230 (when input contains text only)

$0.646 (when input contains images, audio, or video)

Text + Audio

$7.168 (audio)

Text output is not billed.

Billing example: A request with 1,000 text tokens and 1,000 image tokens as input, generating 1,000 text tokens and 1,000 audio tokens as output, costs: $0.000058 (text input) + $0.000216 (image input) + $0.007168 (audio output).

Use the Qwen3-Omni-Flash model for its significant capability improvements over Qwen-Omni-Turbo, which is no longer updated:

It is a hybrid thinking model that supports both thinking and non-thinking modes. Switch between modes using the enable_thinking parameter. By default, thinking mode is disabled.
Audio output is not supported in thinking mode. For audio output in non-thinking mode:
- qwen3-omni-flash-2025-12-01 supports up to 49 voice options, qwen3-omni-flash-2025-09-15 and qwen3-omni-flash support up to 17 voice options, and Qwen-Omni-Turbo supports only 4.
- Supports up to 10 languages, while Qwen-Omni-Turbo supports only 2.

Qwen-Omni-Realtime

Compared to Qwen-Omni, Qwen-Omni-Realtime supports streaming audio input and includes built-in Voice Activity Detection (VAD) to automatically detect the start and end of user speech. Usage | Client events | Server events

International

Model	Version	Context window	Max input	Max output	Free quota (Note)
		(tokens)
qwen3-omni-flash-realtime Currently qwen3-omni-flash-realtime-2025-12-01.	Stable	65,536	49,152	16,384	1 million tokens (regardless of modality) Valid for 90 days after activating Model Studio
qwen3-omni-flash-realtime-2025-12-01	Snapshot
qwen3-omni-flash-realtime-2025-09-15

After the free quota is used up, input and output are billed as follows:

Input	Unit price (per 1M tokens)
Text	$0.52
Audio	$4.57
Image	$0.94

Output

Unit price (per 1M tokens)

Text

$1.99 (for text-only input)

$3.67 (for inputs with images or audio)

Text + Audio

$18.13 (for audio)

Text output is not billed.

More models

Model	Version	Context window	Max input	Max output	Free quota (Note)
		(tokens)
qwen-omni-turbo-realtime Currently qwen-omni-turbo-realtime-2025-05-08	Stable	32,768	30,720	2,048	1 million tokens each (regardless of modality) Valid for 90 days after activating Model Studio
qwen-omni-turbo-realtime-latest Always the latest snapshot.	Latest
qwen-omni-turbo-realtime-2025-05-08	Snapshot

After the free quota is used up, input and output are billed as follows:

Input Billing Item	Unit price (per 1M tokens)
Text	$0.270
Audio	$4.440
Image	$0.840

Output

Unit price (per 1M tokens)

Text

$1.070 (when the input contains only text)

$2.52 (if the input contains images or audio)

Text + Audio

$8.890 (for audio)

The text portion of the output is not subject to billing.

Chinese Mainland

In Chinese Mainland deployment mode, the endpoint and data storage are both located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Version	Context window	Max input	Max output	Free quota (Note)
		(tokens)
qwen3-omni-flash-realtime This model currently, qwen3-omni-flash-realtime-2025-12-01.	Stable	65,536	49,152	16,384	No free quota
qwen3-omni-flash-realtime-2025-12-01	Snapshot
qwen3-omni-flash-realtime-2025-09-15

After the free quota is used up, input and output are billed as follows:

Enter a billing item	Unit price (per 1M tokens)
Text	$0.315
Audio	$2.709
Image	$0.559

Output

Unit price (per 1M tokens)

text

$1.19 (if the input contains only text)

$2.179 (if the input contains images or audio)

Text + Audio

$10.766 (for audio)

The text part is not billed.

More models

Model	Version	Context window	Max input	Max output	Free quota (Note)
		(tokens)
qwen-omni-turbo-realtime This model currently, the qwen-omni-turbo-2025-05-08 snapshot.	Stable	32,768	30,720	2,048	No free quota
qwen-omni-turbo-realtime-latest It always provides the same capabilities as the latest snapshot.	Latest
qwen-omni-turbo-realtime-2025-05-08	Snapshot

The input and output billing rules are as follows:

Billing Item Input	Unit price (per 1M tokens)
Text	$0.230
Audio	$3.584
Image	$0.861

Output

Unit price (per 1M tokens)

text

$0.918 (for text-only input)

$2.581 (for input with images or audio)

Text + Audio

$7.168 (for audio)

Text output is not billed.

Use the Qwen3-Omni-Flash-Realtime model instead of Qwen-Omni-Turbo-Realtime, which will no longer be updated. Qwen3-Omni-Flash-Realtime offers significant capability improvements. For audio output:

qwen3-omni-flash-realtime-2025-12-01 supports 49 voices. qwen3-omni-flash-realtime-2025-09-15 and qwen3-omni-realtime-flash support 17 voices. Qwen-Omni-Turbo-Realtime supports only 4.
Supports 10 languages, compared to Qwen-Omni-Turbo-Realtime's 2.

QVQ

QVQ is a visual reasoning model that supports visual input and CoT output. It demonstrates stronger capabilities in math, programming, visual analysis, creation, and general tasks. Usage | Try online

International

Model	Version	Context window	Max input	Max CoT	Max response	Input cost	Output cost	Free quota (Note)
		(tokens)				(per 1M tokens)
qvq-max Currently qvq-max-2025-03-25.	Stable	131,072	106,496 Max per image: 16,384	16,384	8,192	$1.2	$4.8	1 million input tokens each Valid for 90 days after activating Model Studio
qvq-max-latest Always the latest snapshot.	Latest
qvq-max-2025-03-25 Also known as qvq-max-0325.	Snapshot

Chinese Mainland

In Chinese Mainland deployment mode, the endpoint and data storage are both located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Version	Context window	Max input	Max CoT	Max response	Input cost	Output cost
		(tokens)				(per 1M tokens)
qvq-max Offers stronger visual reasoning and instruction-following capabilities than qvq-plus and delivers optimal performance for more complex tasks. Currently qvq-max-2025-03-25	Stable	131,072	106,496 Max per image: 16,384	16,384	8,192	$1.147	$4.588
qvq-max-latest Always the latest snapshot.	Latest
qvq-max-2025-05-15 Also known as qvq-max-0515.	Snapshot
qvq-max-2025-03-25 Also known as qvq-max-0325.
qvq-plus Currently qvq-plus-2025-05-15	Stable					$0.287	$0.717
qvq-plus-latest Always the latest snapshot.	Latest
qvq-plus-2025-05-15 Also known as qvq-plus-0515.	Snapshot

Qwen-VL

Qwen-VL is a text generation model with visual (image) understanding capabilities. It performs OCR, and can further summarize and reason. For example, it extracts attributes from product photos or solves problems based on exercise diagrams. Usage | API reference | Try online

Qwen-VL models are billed based on the total number of input and output tokens. For more information about image token calculation rules, see Visual Understanding.

International

In international deployment mode, the access point and data storage are both located in the Singapore region. Model inference compute resources are dynamically scheduled worldwide (excluding Chinese Mainland).

Model	Version	Mode	Context window	Max input	Max CoT	Max output	Input cost	Output cost CoT and output	Free quota (Note)
			(tokens)				(per 1M tokens)
qwen3-vl-plus Currently qwen3-vl-plus-2025-12-19	Stable	Thinking	262,144	258,048 Max per image: 16,384	81,920	32,768	Tiered pricing. See details below.		1 million input tokens and 1 million output tokens Valid for 90 days after activating Model Studio
		Non-thinking		260,096 Max per image: 16,384	-
qwen3-vl-plus-2025-12-19	Snapshot	Thinking		258,048 Max per image: 16,384	81,920
		Non-thinking		260,096 Max per image: 16,384	-
qwen3-vl-plus-2025-09-23	Snapshot	Thinking		258,048 Max per image: 16,384	81,920
		Non-thinking		260,096 Max per image: 16,384	-
qwen3-vl-flash Currently qwen3-vl-flash-2025-10-15	Stable	Thinking		258,048 Max per image: 16,384	81,920
		Non-thinking		260,096 Max per image: 16,384	-
qwen3-vl-flash-2026-01-22	Snapshot	Thinking		258,048 Max per image: 16,384	81,920
		Non-thinking		260,096 Max per image: 16,384	-
qwen3-vl-flash-2025-10-15	Snapshot	Thinking		258,048 Max per image: 16,384	81,920
		Non-thinking		260,096 Max per image: 16,384	-

The models above use tiered pricing based on the number of input tokens in the current request. The input and output prices are the same for thinking and non-thinking modes. In addition, qwen3-vl-plus and qwen3-vl-flash models support context cache.

qwen3-vl-plus series

Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
0 < Tokens ≤ 32K	$0.2	$1.6
32K < Tokens ≤ 128K	$0.3	$2.4
128K < Tokens ≤ 256K	$0.6	$4.8

qwen3-vl-flash series

Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
0 < Tokens ≤ 32,000	$0.05	$0.40
32,000 < Tokens ≤ 128,000	$0.075	$0.6
128,000 < Tokens ≤ 256,000	$0.12	$0.96

More models

Qwen-VL-Max

All models below belong to the Qwen2.5-VL series, and the qwen-vl-max model supports context cache.

Model	Version	Context window	Max input	Max output	Input cost	Output cost	Free quota (Note)
		(tokens)			(per 1M tokens)
qwen-vl-max Provides enhanced visual reasoning and instruction-following capabilities compared to qwen-vl-plus, delivering optimal performance for more complex tasks. Currently qwen-vl-max-2025-08-13.	Stable	131,072	129,024 Max per image: 16,384	8,192	$0.8	$3.2	1 million tokens for input and 1 million tokens for output Valid for 90 days after activating Model Studio
qwen-vl-max-latest Always the latest snapshot.	Latest				$0.8	$3.2
qwen-vl-max-2025-08-13 Also known as qwen-vl-max-0813. Visual understanding metrics have been fully upgraded, providing significantly enhanced capabilities in mathematics, reasoning, object recognition, and multilingual processing.	Snapshot
qwen-vl-max-2025-04-08 Also known as qwen-vl-max-0408. As part of the Qwen2.5-VL series, this model extends the context window to 128,000 tokens and significantly enhances mathematics and reasoning capabilities.

Qwen-VL-Plus

All models below belong to the Qwen2.5-VL series, and the qwen-vl-plus model supports context cache.

Model	Version	Context window	Max input	Max output	Input cost	Output cost	Free quota (Note)
		(tokens)			(per 1M tokens)
qwen-vl-plus Currently qwen-vl-plus-2025-08-15.	Stable	131,072	129,024 Max per image: 16,384	8,192	$0.21	$0.63	1 million tokens each Valid for 90 days after activating Model Studio
qwen-vl-plus-latest Always the latest snapshot.	Latest				$0.21	$0.63
qwen-vl-plus-2025-08-15 Also known as qwen-vl-plus-0815. Features significantly improved object recognition and localization, and multilingual processing capabilities.	Snapshot
qwen-vl-plus-2025-05-07 Also known as qwen-vl-plus-0507. Features significantly improved math, reasoning, and surveillance video content understanding capabilities.
qwen-vl-plus-2025-01-25 Also known as qwen-vl-plus-0125. Part of the Qwen2.5-VL series, this model extends the context window to 128K tokens and significantly enhances image and video understanding capabilities.

Global

In global deployment mode, the access point and data storage are both located in the US (Virginia) region. Model inference compute resources are dynamically scheduled worldwide.

Model	Version	Mode	Context window	Max input	Max CoT	Max output	Input cost	Output cost CoT and output
			(tokens)				(per 1M tokens)
qwen3-vl-plus Currently qwen3-vl-plus-2025-12-19.	Stable	Thinking	262,144	258,048 Max per image: 16,384.	81,920	32,768	Tiered pricing. See details below.
		Non-thinking		260,096 Max per image: 16,384.	-
qwen3-vl-plus-2025-09-23	Snapshot	Thinking		258,048 Max per image: 16,384.	81,920
		Non-thinking		260,096 Max per image: 16,384.	-
qwen3-vl-flash Currently qwen3-vl-flash-2025-10-15.	Stable	Thinking		258,048 Max per image: 16,384.	81,920
		Non-thinking		260,096 Max per image: 16,384.	-
qwen3-vl-flash-2025-10-15	Snapshot	Thinking		258,048 Max per image: 16,384.	81,920
		Non-thinking		260,096 Max per image: 16,384.	-

qwen3-vl-plus series

Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
0 < Tokens ≤ 32,000	$0.20	$1.6
32,000 < Tokens ≤ 128,000	$0.30	$2.40
128,000 < Tokens ≤ 256,000	$0.60	$4.80

qwen3-vl-flash series

Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
0 < Tokens ≤ 32K	$0.05	$0.4
32K < Tokens ≤ 128K	$0.075	$0.6
128K < Tokens ≤ 256K	$0.12	$0.96

US

In US deployment mode, the access point and data storage are both located in the US (Virginia) region. Model inference compute resources are limited to the US.

Model	Version	Mode	Context window	Max input	Longest CoT	Max output	Input cost	Output cost For CoT and final output
			(tokens)				(per 1M tokens)
qwen3-vl-flash-us Offers the same capabilities as qwen3-vl-flash-2025-10-15-us.	Stable	Thinking		258,048 Max per image: 16,384	81,920	32,768	Tiered pricing. See details below.
		Non-thinking		260,096 Max per image: 16,384	-
qwen3-vl-flash-2025-10-15-us	Snapshot	Thinking		258,048 Max per image: 16,384	81,920
		Non-thinking		260,096 Max per image: 16,384	-

Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
0 < Tokens ≤ 32,000	$0.05	$0.4
32,000 < Tokens ≤ 128,000	$0.075	$0.6
128,000 < Tokens ≤ 256,000	$0.12	$0.96

Chinese Mainland

In Chinese Mainland deployment mode, the access point and data storage are both located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Version	Mode	Context window (tokens)	Max input (tokens)	Max CoT	Max output (tokens)	Input cost	Output cost	Free quota (Note)
			Token count				per 1 M tokens
qwen3-vl-plus Currently qwen3-vl-plus-2025-12-19 Batch calls at half price	Stable	Thinking	262,144	258,048 Max per image: 16,384	81,920	32,768	Tiered pricing. See details below.		No free quota
		Non-thinking		260,096 Max per image: 16,384	-
qwen3-vl-plus-2025-12-19	Snapshot	Thinking		258,048 Max per image: 16,384	81,920
		Non-thinking		260,096 Max per image: 16,384	-
qwen3-vl-plus-2025-09-23	Snapshot	Thinking		258,048 Max per image: 16,384	81,920
		Non-thinking		260,096 Max per image: 16,384	-
qwen3-vl-flash Currently qwen3-vl-flash-2025-10-15 Batch calls at half price	Stable	Thinking		258,048 Max per image: 16,384	81,920
		Non-thinking		260,096 Max per image: 16,384	-
qwen3-vl-flash-2026-01-22	Snapshot	Thinking		258,048 Max per image: 16,384	81,920
		Non-thinking		260,096 Max per image: 16,384	-
qwen3-vl-flash-2025-10-15	Snapshot	Thinking		258,048 Max per image: 16,384	81,920
		Non-thinking		260,096 Max per image: 16,384	-

qwen3-vl-plus series

Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
0 < Tokens ≤ 32K	$0.143	$1.434
32K < Tokens ≤ 128K	$0.215	$2.15
128K < Tokens ≤ 256K	$0.43	$4.301

qwen3-vl-flash series

Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
0 < Tokens ≤ 32,000	$0.022	$0.215
32,000 < Tokens ≤ 128,000	$0.043	$0.43
128,000 < Tokens ≤ 256,000	$0.086	$0.859

More models

Qwen-VL-Max series

Models updated on or after qwen-vl-max-2025-01-25 belong to the Qwen2.5-VL series, and the qwen-vl-max model supports context cache.

Model	Version	Context window	Max input	Max output	Input cost	Output cost
		(tokens)			(per 1M tokens)
qwen-vl-max Offers enhanced visual reasoning and instruction-following capabilities compared with qwen-vl-plus, delivering optimal performance for more complex tasks. Currently qwen-vl-max-2025-08-13. Batch calls are available at half price.	Stable	131,072	129,024 Max per image: 16,384	8,192	$0.23	$0.574
qwen-vl-max-latest Always the latest snapshot Batch calls are available at half price.	Latest
qwen-vl-max-2025-08-13 Also known as qwen-vl-max-0813. Features fully upgraded visual understanding metrics, with significantly enhanced capabilities in mathematics, reasoning, object recognition, and multilingual processing.	Snapshot
qwen-vl-max-2025-04-08 Also known as qwen-vl-max-0408. Provides enhanced mathematics and reasoning capabilities.					$0.431	$1.291
qwen-vl-max-2025-04-02 Also known as qwen-vl-max-0402. Delivers significantly improved accuracy when solving complex mathematics problems.
qwen-vl-max-2025-01-25 Also known as qwen-vl-max-0125. Upgraded to the Qwen2.5-VL series, it extends the context window to 128K tokens and significantly enhances image and video understanding capabilities.
qwen-vl-max-2024-12-30 Also known as qwen-vl-max-1230.		32,768	30,720 Max per image: 16,384	2,048	$0.431	$1.291
qwen-vl-max-2024-11-19 Also known as qwen-vl-max-1119.

Qwen-VL-Plus series

qwen-vl-plus-2025-01-25 belong to the Qwen2.5-VL series, and the qwen-vl-plus model supports context cache.

Model	Version	Context window	Max input	Max output	Input cost	Output cost
		(tokens)			(per 1M tokens)
qwen-vl-plus Currently qwen-vl-plus-2025-08-15. Batch calls at half price.	Stable	131,072	129,024 Max per image: 16,384	8,192	$0.115	$0.287
qwen-vl-plus-latest Always the latest snapshot. Batch calls at half price.	Latest
qwen-vl-plus-2025-08-15 Also known as qwen-vl-plus-0815. Significantly improved object recognition and localization, and multilingual processing capabilities.	Snapshot
qwen-vl-plus-2025-07-10 Also known as qwen-vl-plus-0710. Further improves the understanding of surveillance video content.		32,768	30,720 Max per image: 16,384		$0.022	$0.216
qwen-vl-plus-2025-05-07 Also known as qwen-vl-plus-0507. Significantly improved math, reasoning, and surveillance video content understanding capabilities.		131,072	129,024 Max per image: 16,384		$0.216	$0.646
qwen-vl-plus-2025-01-25 Also known as qwen-vl-plus-0125. Upgraded to the Qwen2.5-VL series, it extends the context to 128K tokens and significantly enhances image and video understanding capabilities.
qwen-vl-plus-2025-01-02 Also known as qwen-vl-plus-0102.		32,768	30,720 Max per image: 16,384	2,048

The qwen3-vl-flash-2026-01-22 model effectively integrates thinking and non-thinking modes. Compared to the snapshot of October 15, 2025, it significantly improves the model's overall performance. It achieves higher inference accuracy in business scenarios such as general visual recognition, security, store inspection, patrol inspection, and photo-based problem solving.

Qwen-OCR

Qwen-OCR is a model that specializes in text extraction. Compared to Qwen-VL, it focuses more on extracting text from images of items such as documents, tables, exam questions, and handwriting. It can recognize multiple languages, including English, French, Japanese, Korean, German, Russian, and Italian. Usage | API reference | Try online

International

Model	Version	Context window	Max input	Max output	Input price	Output price	Free quota (Note)
		(tokens)			(per 1M tokens)
qwen-vl-ocr Equivalent to qwen-vl-ocr-2025-11-20.	Stable	38,192	30,000 Max per image: 30,000	8,192	$0.07	$0.16	1 million input tokens and 1 million output tokens Valid for 90 days after activating Model Studio
qwen-vl-ocr-2025-11-20 Also known as qwen-vl-ocr-1120. Based on the Qwen3-VL architecture, this model significantly improves document parsing and text localization.	Snapshot

Global

In global deployment mode, the endpoint and data storage are both located in the US (Virginia) region. Model inference compute resources are dynamically scheduled worldwide.

Model	Version	Context window	Max input	Max output	Input price	Output price
		(tokens)			(per 1M tokens)
qwen-vl-ocr Equivalent to qwen-vl-ocr-2025-11-20.	Stable	38,192	30,000 Max per image: 30,000	8,192	$0.07	$0.16
qwen-vl-ocr-2025-11-20 Also known as qwen-vl-ocr-1120. Based on the Qwen3-VL architecture, this model significantly improves document parsing and text localization.	Snapshot

Chinese Mainland

In Chinese Mainland deployment mode, the endpoint and data storage are both located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Version	Context window	Max input	Max output	Input price	Output price	Free quota (Note)
		(tokens)			(per 1M tokens)
qwen-vl-ocr Currently qwen-vl-ocr-2025-11-20. Batch calls are available at half price.	Stable	38,192	30,000 Max per image: 30,000	8,192	$0.043	$0.072	No free quota
qwen-vl-ocr-latest Always the latest	Latest
qwen-vl-ocr-2025-11-20 Also known as qwen-vl-ocr-1120. Based on the Qwen3-VL architecture, this model significantly improves document parsing and text localization.	Snapshot
qwen-vl-ocr-2025-08-28 Also known as qwen-vl-ocr-0828.		34,096		4,096	$0.717	$0.717
qwen-vl-ocr-2025-04-13 Also known as qwen-vl-ocr-0413.
qwen-vl-ocr-2024-10-28 Also known as qwen-vl-ocr-1028.

Qwen-Math

Qwen-Math is a language model that specializes in solving mathematical problems. Usage | API reference | Try online

Note

Model	Version	Context window	Max input	Max output	Input cost	Output cost
		(tokens)			(per 1M tokens)
qwen-math-plus This model currently, qwen-math-plus-2024-09-19.	Stable	4,096	3,072	3,072	$0.574	$1.721
qwen-math-plus-latest Always the latest snapshot	Latest
qwen-math-plus-2024-09-19 Also known as qwen-math-plus-0919	Snapshot
qwen-math-plus-2024-08-16 Also known as qwen-math-plus-0816
qwen-math-turbo Currently qwen-math-turbo-2024-09-19.	Stable				$0.287	$0.861
qwen-math-turbo-latest Always the latest snapshot	Latest
qwen-math-turbo-2024-09-19 Also known as qwen-math-turbo-0919	Snapshot

Qwen-Coder

Qwen-Coder is a code generation model. The latest Qwen3-Coder-Plus series builds on Qwen3 and delivers advanced coding agent capabilities. It excels at tool calling, environment interaction, and autonomous programming-combining strong coding proficiency with general-purpose intelligence. Usage | API reference | Try online

International

Model	Version	Context window	Max input	Max output	Input cost	Output cost	Free quota (Note)
		(tokens)			(per 1M tokens)
qwen3-coder-plus Currently qwen3-coder-plus-2025-09-23	Stable	1,000,000	997,952	65,536	Pricing is tiered. See the notes below the table.		1 million tokens each Validity period: 90 days after you activate Alibaba Cloud Model Studio
qwen3-coder-plus-2025-09-23	Snapshot
qwen3-coder-plus-2025-07-22	Snapshot
qwen3-coder-flash Currently qwen3-coder-flash-2025-07-28	Stable
qwen3-coder-flash-2025-07-28	Snapshot

The models above use tiered pricing based on the number of input tokens in the current request.

qwen3-coder-plus series

qwen3-coder-plus, qwen3-coder-plus-2025-09-23, and qwen3-coder-plus-2025-07-22 are priced as follows. qwen3-coder-plus supports context cache. Input text that hits the implicit cache is billed at 20% of the unit price, while input text that hits the explicit cache is billed at 10% of the unit price.

Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
0<Token≤32K	$1	$5
32,000 < Tokens ≤ 128,000	$1.80	$9
128,000 < Tokens ≤ 256,000	$3	$15
256,000 < Tokens ≤ 1,000,000	$6	$60

qwen3-coder-flash series

qwen3-coder-flash and qwen3-coder-flash-2025-07-28 are priced as follows. qwen3-coder-flash supports context cache. Input text that hits the implicit cache is billed at 20% of the unit price, while input text that hits the explicit cache is billed at 10% of the unit price.

Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
Up to 32,000	$0.30	$1.50
32,000 < Tokens ≤ 128,000	$0.50	$2.50
128,000 < Tokens ≤ 256,000	$0.80	$4.00
256,000 < Tokens ≤ 1,000,000	$1.6	$9.60

Global

In global deployment mode, the endpoint and data storage are both located in the US (Virginia) region. Model inference compute resources are dynamically scheduled worldwide.

Model	Version	Context window	Max input	Max output	Input cost	Output cost
		(tokens)			(per 1M tokens)
qwen3-coder-plus Currently qwen3-coder-plus-2025-09-23	Stable	1,000,000	997,952	65,536	Pricing is tiered. See the note below the table.
qwen3-coder-plus-2025-09-23	Snapshot
qwen3-coder-plus-2025-07-22	Snapshot
qwen3-coder-flash Currently qwen3-coder-flash-2025-07-28	Stable
qwen3-coder-flash-2025-07-28	Snapshot

The models above use tiered pricing based on the number of input tokens in the current request.

qwen3-coder-plus series

Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
0<Token≤32K	$1	$5
32,000 < Tokens ≤ 128,000	$1.80	$9
128,000 < Tokens ≤ 256,000	$3	$15
256,000 < Tokens ≤ 1,000,000	$6	$60

qwen3-coder-flash series

qwen3-coder-flash and qwen3-coder-flash-2025-07-28 are priced as follows. qwen3-coder-flash supports context cache. Input text that hits the cache is billed at 20% of the unit price.

Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
0 < Token ≤ 32K	$0.3	$1.5
32K < Tokens ≤ 128K	$0.5	$2.5
128K < Tokens ≤ 256K	$0.8	$4
256K < Tokens ≤ 1M	$1.6	$9.6

Chinese Mainland

In Chinese Mainland deployment mode, the endpoint and data storage are both located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Version	Context window	Max input	Max output	Input cost	Output cost
		(tokens)			(per 1M tokens)
qwen3-coder-plus Currently qwen3-coder-plus-2025-09-23	Stable	1,000,000	997,952	65,536	Tiered pricing. See details below.
qwen3-coder-plus-2025-09-23	Snapshot
qwen3-coder-plus-2025-07-22	Snapshot
qwen3-coder-flash Currently qwen3-coder-flash-2025-07-28	Stable
qwen3-coder-flash-2025-07-28	Snapshot

The models above use tiered pricing based on the number of input tokens in the current request.

qwen3-coder-plus series

Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
0<Token≤32K	$0.574	$2.294
32K < Tokens ≤ 128K	$0.861	$3.441
128K < Tokens ≤ 256K	$1.434	$5.735
256K < Tokens ≤ 1M	$2.868	$28.671

qwen3-coder-flash series

Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
0 < Token ≤ 32K	$0.144	$0.574
32 K < Tokens ≤ 128 K	$0.216	$0.861
128 K < Tokens ≤ 256 K	$0.359	$1.434
256 K < Tokens ≤ 1 M	$0.717	$3.584

More models

Model	Version	Context window	Max input	Max output	Input cost	Output cost
		(tokens)			(per 1M tokens)
qwen-coder-plus Same as qwen-coder-plus-2024-11-06	Stable	131,072	129,024	8,192	$0.502	$1.004
qwen-coder-plus-latest Same as the latest snapshot of qwen-coder-plus	Latest
qwen-coder-plus-2024-11-06 Also known as qwen-coder-plus-1106	Snapshot
qwen-coder-turbo Same as qwen-coder-turbo-2024-09-19	Stable	131,072	129,024	8,192	$0.287	$0.861
qwen-coder-turbo-latest Same as the latest snapshot of qwen-coder-turbo	Latest
qwen-coder-turbo-2024-09-19 Also known as qwen-coder-turbo-0919	Snapshot

Qwen-MT

Qwen-MT is a flagship Large Language Model (LLM) for translation, fully upgraded from Qwen 3. It supports translation between 92 languages, such as Chinese, English, Japanese, Korean, French, Spanish, German, Thai, Indonesian, Vietnamese, and Arabic. It features comprehensive upgrades in model performance and translation quality. The model offers more stable glossary customization, format retention, and domain-specific prompting, making translations more accurate and natural. Usage

International

Model	Context window	Max input	Max output	Input cost	Output cost	Free quota Rule description
	(tokens)			(per 1M tokens)
qwen-mt-plus Part of Qwen3-MT	16,384	8,192	8,192	$2.46	$7.37	1 million tokens Valid for 90 days after activating Model Studio
qwen-mt-flash Part of Qwen3-MT				$0.16	$0.49
qwen-mt-lite Part of Qwen3-MT				$0.12	$0.36
qwen-mt-turbo Part of Qwen3-MT				$0.16	$0.49

Global

In global deployment mode, the endpoint and data storage are both located in the US (Virginia) region. Model inference computing resources are dynamically scheduled worldwide.

Model	Context window	Max input	Max output	Input cost	Output cost
	(tokens)			(per 1M tokens)
qwen-mt-plus Part of Qwen3-MT	16,384	8,192	8,192	$2.46	$7.37
qwen-mt-flash Part of Qwen3-MT				$0.16	$0.49
qwen-mt-lite Part of Qwen3-MT				$0.12	$0.36

Chinese Mainland

In Chinese Mainland deployment mode, the endpoint and data storage are both located in the Beijing region. Model inference computing resources are limited to Chinese Mainland.

Model	Context window	Max input	Max output	Input cost	Output cost
Model	(tokens)			(per 1M tokens)
qwen-mt-plus Belongs toQwen3-MT	16,384	8,192	8,192	$0.259	$0.775
qwen-mt-flash Belongs toQwen3-MT				$0.101	$0.280
qwen-mt-lite Belongs toQwen3-MT				$0.086	$0.229
qwen-mt-turbo Belongs toQwen3-MT				$0.101	$0.280

Qwen-Doc

The Qwen data mining model extracts structured information from documents for use in data annotation, content moderation, and other applications. Usage | API reference

Note

Model	Context window	Max input	Max output	Input cost	Output cost	Free quota
Model	(tokens)			(per 1M tokens)		Free quota
qwen-doc-turbo	262,144	253,952	32,768	$0.087	$0.144	No free quota

Qwen-Deep-Research

The Qwen deep research model can break down complex problems, perform reasoning and analysis using web searches, and generate research reports.Usage | API reference

Note

Model	Context window	Max input	Max output	Input cost	Output cost
Model	(tokens)			(per 1K tokens)
qwen-deep-research	1,000,000	997,952	32,768	$0.007742	$0.023367

Text generation – Qwen – Open source

In model names, `xxb` indicates the parameter scale. For example, qwen2-72b-instruct has 72 billion parameters.
Model Studio supports calling open-source Qwen models. You do not need to deploy them locally. For open-source models, we recommend using Qwen3 and Qwen2.5.

Qwen3.5

Supports text, image, and video inputs. It performs on par with Qwen3 Max on plain-text tasks while delivering superior performance at a lower cost. In multimodal capabilities, it delivers significant improvements over the Qwen3 VL series.

Model	Mode	Context window	Max input	Max CoT	Max response	Input cost	Output cost CoT + response	Free quota (note)
		(tokens)				(per 1M tokens)
qwen3.5-397b-a17b Thinking mode enabled by default	Thinking	262,144	258,048	81,920	65,536	Tiered pricing. See details below.		1 million tokens each Valid for 90 days after activating Model Studio International only
	Non-thinking		260,096	-
qwen3.5-122b-a10b Thinking mode enabled by default	Thinking	262,144	258,048	81,920	65,536
	Non-thinking		260,096	-
qwen3.5-27b Thinking mode enabled by default	Thinking	262,144	258,048	81,920	65,536
	Non-thinking		260,096	-
qwen3.5-35b-a3b Thinking mode enabled by default	Thinking	262,144	258,048	81,920	65,536
	Non-thinking		260,096	-

The qwen3.5-397b-a17b, qwen3.5-122b-a10b, qwen3.5-27b, and qwen3.5-35b-a3b models use tiered pricing based on the number of input tokens in the current request.

International

Model	Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
qwen3.5-397b-a17b	0<Token≤256K	$0.6	$3.6
qwen3.5-122b-a10b		$0.4	$3.2
qwen3.5-27b		$0.3	$2.4
qwen3.5-35b-a3b		$0.25	$2

Chinese Mainland

Model	Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
qwen3.5-397b-a17b	0<Token≤128K	$0.172	$1.032
qwen3.5-397b-a17b	128K<Token≤256K	$0.43	$2.58
qwen3.5-122b-a10b	0<Token≤128K	$0.115	$0.917
qwen3.5-122b-a10b	128K<Token≤256K	$0.287	$2.294
qwen3.5-27b	0<Token≤128K	$0.086	$0.688
qwen3.5-27b	128K<Token≤256K	$0.258	$2.064
qwen3.5-35b-a3b	0<Token≤128K	$0.057	$0.459
qwen3.5-35b-a3b	128K<Token≤256K	$0.229	$1.835

Qwen3

The qwen3-next-80b-a3b-thinking model, released in September 2025, supports only thinking mode. It improves instruction-following capabilities and delivers more concise summary responses than qwen3-235b-a22b-thinking-2507.

The qwen3-next-80b-a3b-instruct model, released in September 2025, supports only non-thinking mode. It enhances Chinese understanding, logical reasoning, and text generation capabilities compared to qwen3-235b-a22b-instruct-2507.

The qwen3-235b-a22b-thinking-2507 and qwen3-30b-a3b-thinking-2507 models, released in July 2025, support only thinking mode and are upgrades of qwen3-235b-a22b (thinking mode) and qwen3-30b-a3b (thinking mode), respectively.

The qwen3-235b-a22b-instruct-2507 and qwen3-30b-a3b-instruct-2507 models, released in July 2025, support only non-thinking mode and are upgrades of qwen3-235b-a22b (non-thinking mode) and qwen3-30b-a3b (non-thinking mode), respectively.

The Qwen3 models, released in April 2025, support both thinking and non-thinking modes. You can switch between modes using the enable_thinking parameter. Additionally, Qwen3 models deliver significant improvements in the following areas:

Reasoning ability: Significantly outperforms QwQ and similarly sized non-reasoning models on evaluations for math, code, and logical reasoning, achieving top-tier industry performance for a model of its size.
Human preference alignment: Features greatly enhanced capabilities for creative writing, role assumption, multi-turn conversation, and instruction following. Its general abilities significantly surpass those of similarly sized models.
Agent capabilities: Achieves industry-leading performance in both thinking and non-thinking modes and enables precise external tool invocation.

Multilingual support: Supports over 100 languages and dialects and provides notable improvements in multilingual translation, instruction understanding, and commonsense reasoning.

Supported languages

English

Simplified Chinese

Traditional Chinese

French

Spanish

Arabic is written in the Arabic script and is the official language of many Arab countries.

Russian is written in the Cyrillic script and is the official language of Russia and several other countries.

Portuguese uses the Latin alphabet and is the official language of Portugal, Brazil, and other Portuguese-speaking countries.

German is written in the Latin alphabet and is an official language in Germany, Austria, and other regions.

Italian uses the Latin alphabet and is an official language in Italy, San Marino, and parts of Switzerland.

Dutch uses the Latin alphabet and is an official language in the Netherlands, the Flemish Region of Belgium, and Suriname.

Danish, which uses the Latin alphabet, is the official language of Denmark.

Irish uses the Latin alphabet and is one of the official languages of Ireland.

Welsh uses the Latin alphabet and is one of the official languages of Wales.

Finnish, which uses the Latin alphabet, is an official language of Finland.

Icelandic, which uses the Latin alphabet, is the official language of Iceland.

Swedish, which uses the Latin alphabet, is the official language of Sweden.

Norwegian Nynorsk, which uses the Latin alphabet, is one of Norway's two official written standards, alongside Bokmål.

Norwegian Bokmål, which uses the Latin alphabet, is a major written standard for Norway.

Japanese is the official language of Japan and uses Japanese characters.

Korean is written in the Hangul script and is the official language of South Korea and North Korea.

Vietnamese, which uses the Latin alphabet, is the official language of Vietnam.

Thai, which uses the Thai alphabet, is the official language of Thailand.

Indonesian, which uses the Latin alphabet, is the official language of Indonesia.

Malay uses the Latin alphabet and is the primary language of Malaysia and surrounding regions.

Burmese, which uses the Burmese alphabet, is the official language of Myanmar.

Tagalog is one of the major languages of the Philippines and uses the Latin alphabet.

Khmer is written in the Khmer script and is the official language of Cambodia.

Lao is written in the Lao script and is the official language of Laos.

Hindi is one of the official languages of India and uses the Devanagari script.

Bengali is written in the Bengali script and is the official language of Bangladesh and the Indian state of West Bengal.

Urdu is written in the Arabic script and is one of the official languages of Pakistan. It is also spoken in India.

Nepali is written in the Devanagari script and is the official language of Nepal.

Hebrew is written in the Hebrew script and is the official language of Israel.

Turkish is written in the Latin alphabet and is the official language of Türkiye and Northern Cyprus.

Persian uses the Arabic script and is the official language in countries such as Iran and Tajikistan.

Polish, which uses the Latin alphabet, is the official language of Poland.

Ukrainian is written in the Cyrillic script and is the official language of Ukraine.

Czech, which uses the Latin alphabet, is the official language of the Czech Republic.

Romanian is written in the Latin alphabet and is the official language of Romania and Moldova.

Bulgarian, which uses the Cyrillic script, is the official language of Bulgaria.

Slovak, which uses the Latin alphabet, is the official language of Slovakia.

Hungarian uses the Latin alphabet and is the official language of Hungary.

Slovenian, which uses the Latin alphabet, is the official language of Slovenia.

Latvian, which uses the Latin alphabet, is the official language of Latvia.

Estonian, which uses the Latin alphabet, is the official language of Estonia.

Lithuanian, which uses the Latin alphabet, is the official language of Lithuania.

Belarusian is written in the Cyrillic script and is one of the official languages of Belarus.

Greek is written in the Greek alphabet and is the official language of Greece and Cyprus.

Croatian, which uses the Latin alphabet, is the official language of Croatia.

Macedonian is the official language of North Macedonia and is written in the Cyrillic script.

Maltese, which uses the Latin alphabet, is an official language in Malta.

Serbian, which uses the Cyrillic script, is the official language of Serbia.

Bosnian is one of the official languages of Bosnia and Herzegovina and uses the Latin alphabet.

Georgian is the official language of Georgia and is written in the Georgian script.

Armenian, which uses the Armenian alphabet, is the official language of Armenia.

Northern Azerbaijani uses the Latin alphabet and is the official language of Azerbaijan.

Kazakh, which uses the Cyrillic script, is the official language of Kazakhstan.

Northern Uzbek is written in the Latin alphabet and is the official language of Uzbekistan.

Tajik, which uses the Cyrillic script, is the official language of Tajikistan.

Swahili uses the Latin alphabet and is a lingua franca or official language in many East African countries.

Afrikaans uses the Latin alphabet and is spoken mainly in South Africa and Namibia.

Cantonese is written in Traditional Chinese characters and is a primary language in China's Guangdong Province, Hong Kong, and Macau.

Luxembourgish uses the Latin alphabet and is one of the official languages of Luxembourg. It is also spoken in parts of Germany.

Limburgish is written in the Latin alphabet and is spoken mainly in parts of the Netherlands, Belgium, and Germany.

Catalan uses the Latin alphabet and is spoken in Catalonia and other parts of Spain.

Galician uses the Latin alphabet and is spoken mainly in the Galicia region of Spain.

Asturian uses the Latin alphabet and is spoken mainly in the Asturias region of Spain.

Basque, which uses the Latin alphabet, is spoken mainly in the Basque Country of Spain and France. It is one of the official languages of the Basque Autonomous Community in Spain.

Occitan uses the Latin alphabet and is spoken mainly in southern France.

Venetian is spoken mainly in the Veneto region of Italy and uses the Latin alphabet.

Sardinian uses the Latin alphabet and is spoken mainly in Sardinia, Italy.

Sicilian is written in the Latin alphabet and is spoken mainly in Sicily, Italy.

Friulian uses the Latin alphabet and is spoken mainly in Friuli-Venezia Giulia, Italy.

Lombard is spoken mainly in the Lombardy region of Italy and uses the Latin alphabet.

Ligurian uses the Latin alphabet and is spoken mainly in the Liguria region of Italy.

Faroese is written in the Latin alphabet and is spoken mainly in the Faroe Islands, where it is one of the official languages.

Tosk Albanian, which uses the Latin alphabet, is the primary southern dialect of Albanian.

Silesian uses the Latin alphabet and is spoken mainly in Poland.

Bashkir uses the Cyrillic script and is spoken mainly in Bashkortostan, Russia.

Tatar uses the Cyrillic script and is spoken mainly in Tatarstan, Russia.

Mesopotamian Arabic is written in the Arabic script and is spoken mainly in Iraq.

Najdi Arabic uses the Arabic script and is spoken mainly in the Najd region of Saudi Arabia.

Egyptian Arabic is written in the Arabic script and is spoken mainly in Egypt.

Levantine Arabic uses the Arabic script and is spoken mainly in Syria and Lebanon.

Ta'izzi-Adeni Arabic, a Semitic language written in the Arabic script, is spoken mainly in Yemen and the Hadhramaut region of Saudi Arabia.

Dari uses the Arabic script and is one of the official languages of Afghanistan.

Tunisian Arabic is written in the Arabic script and is spoken mainly in Tunisia.

Moroccan Arabic is written in the Arabic script and is spoken mainly in Morocco.

Kabuverdianu is spoken mainly in Cape Verde and uses the Latin alphabet.

Tok Pisin is a primary lingua franca in Papua New Guinea and uses the Latin alphabet.

Eastern Yiddish is written in the Hebrew script and is used mainly in Jewish communities.

Sindhi is written in the Arabic script and is one of the official languages of Pakistan's Sindh province.

Sinhala is written in the Sinhala script and is one of the official languages of Sri Lanka.

Telugu is written in the Telugu script and is one of the official languages of the Indian states of Andhra Pradesh and Telangana.

Punjabi is written in the Gurmukhi script, spoken in the Indian state of Punjab, and is one of the official languages of India.

Tamil is written in the Tamil script and is one of the official languages of the Indian state of Tamil Nadu and Sri Lanka.

Gujarati is written in the Gujarati script and is an official language of the Indian state of Gujarat.

Malayalam is written in the Malayalam script and is one of the official languages of the Indian state of Kerala.

Marathi is written in the Devanagari script and is one of the official languages of the Indian state of Maharashtra.

Kannada is written in the Kannada script and is one of the official languages of the Indian state of Karnataka.

Magahi is written in the Devanagari script and is spoken mainly in the Indian state of Bihar.

Oriya uses the Urdu script and is one of the official languages of the Indian state of Odisha.

Awadhi is written in the Devanagari script and is spoken mainly in the Indian state of Uttar Pradesh.

Maithili is written in the Devanagari script. It is one of India's official languages and is spoken in the Indian state of Bihar and the Terai plains of Nepal.

Assamese uses the Bengali script and is one of the official languages of the Indian state of Assam.

Chhattisgarhi is written in the Devanagari script and is spoken mainly in the Indian state of Chhattisgarh.

Bhojpuri uses the Devanagari script and is spoken in parts of India and Nepal.

Minangkabau is written in the Latin alphabet and is spoken mainly on the island of Sumatra in Indonesia.

Balinese is written in the Latin alphabet and is spoken mainly on the island of Bali, Indonesia.

Javanese is widely spoken on the island of Java in Indonesia and is written using both the Latin alphabet and the Javanese script.

Banjar is written in the Latin alphabet and is spoken mainly on the island of Kalimantan in Indonesia.

Sundanese, spoken mainly in western Java, Indonesia, is written in the Latin alphabet but traditionally used the Sundanese script.

Cebuano uses the Latin alphabet and is spoken mainly in the Cebu region of the Philippines.

Pangasinan is written in the Latin alphabet and is spoken mainly in the Pangasinan province of the Philippines.

Iloko is spoken mainly in the Philippines and uses the Latin alphabet.

Waray is a language of the Philippines that uses the Latin alphabet.

Haitian Creole, which uses the Latin alphabet, is an official language of Haiti.

Papiamento uses the Latin alphabet and is spoken mainly in Caribbean regions such as Aruba and Curaçao.

Response formatting: Fixes issues found in previouss, such as incorrect Markdown rendering, response truncation, and incorrectly formatted boxed output.

Qwen3 open-source models released in April 2025 do not support non-streaming output in thinking mode.

If you enable thinking mode for Qwen3 open-source models and no reasoning process appears in the output, billing applies at the non-thinking mode rate.

Thinking | Non-thinking mode | Usage

International

Model	Mode	Context window	Max input	Max CoT	Max output	Input cost	Output cost	Free quota (Note)
Model	Mode	(tokens)				(per 1M tokens)		Free quota (Note)
qwen3-next-80b-a3b-thinking	Thinking only	131,072	126,976	81,920	32,768	$0.15	$1.2	1 million tokens each Valid for 90 days after activating Model Studio
qwen3-next-80b-a3b-instruct	Non-thinking		129,024	-		$0.15	$1.2
qwen3-235b-a22b-thinking-2507	Thinking only		126,976	81,920		$0.23	$2.3
qwen3-235b-a22b-instruct-2507	Non-thinking		129,024	-		$0.23	$0.92
qwen3-30b-a3b-thinking-2507	Thinking only		126,976	81,920		$0.2	$2.4
qwen3-30b-a3b-instruct-2507	Non-thinking		129,024	-		$0.2	$0.8
qwen3-235b-a22b This model and the following models were released in April 2025.	Non-thinking		129,024	-	16,384	$0.7	$2.8
	Thinking		98,304	38,912		$0.7	$8.4
qwen3-32b	Non-thinking		129,024	-		$0.16	$0.64
qwen3-32b	Thinking		98,304	38,912		$0.16	$0.64
qwen3-30b-a3b	Non-thinking		129,024	-		$0.2	$0.8
qwen3-30b-a3b	Thinking		98,304	38,912		$0.2	$2.4
qwen3-14b	Non-thinking		129,024	-	8,192	$0.35	$1.4
qwen3-14b	Thinking		98,304	38,912		$0.35	$4.2
qwen3-8b	Non-thinking		129,024	-		$0.18	$0.7
qwen3-8b	Thinking		98,304	38,912		$0.18	$2.1
qwen3-4b	Non-thinking		129,024	-		$0.11	$0.42
qwen3-4b	Thinking		98,304	38,912			$1.26
qwen3-1.7b	Non-thinking	32,768	30,720	-			$0.42
qwen3-1.7b	Thinking		28,672	The sum of the values must not exceed 30,720.			$1.26
qwen3-0.6b	Non-thinking		30,720	-			$0.42
qwen3-0.6b	Thinking		28,672	The sum of the inputs cannot exceed 30,720.			$1.26

Global

In global deployment mode, the endpoint and data storage are both located in the US (Virginia) region. Model inference compute resources are dynamically scheduled worldwide.

Model	Mode	Context window	Max input	Max CoT	Max output	Input cost	Output cost	Free quota (Note)
Model	Mode	(tokens)				(per 1M Tokens)		Free quota (Note)
qwen3-next-80b-a3b-thinking	Thinking only	131,072	126,976	81,920	32,768	$0.15	$1.2	No free quota
qwen3-next-80b-a3b-instruct	Non-thinking		129,024	-		$0.15	$1.2
qwen3-235b-a22b-thinking-2507	Thinking only		126,976	81,920		$0.23	$2.3
qwen3-235b-a22b-instruct-2507	Non-thinking		129,024	-		$0.23	$0.92
qwen3-30b-a3b-thinking-2507	Thinking only		126,976	81,920		$0.2	$2.4
qwen3-30b-a3b-instruct-2507	Non-thinking		129,024	-		$0.2	$0.8
qwen3-235b-a22b	Non-thinking		129,024	-	16,384	$0.7	$2.8
qwen3-235b-a22b	Thinking		98,304	38,912		$0.7	$8.4
qwen3-32b	Non-thinking		129,024	-		$0.16	$0.64
qwen3-32b	Thinking		98,304	38,912		$0.16	$0.64
qwen3-30b-a3b	Non-thinking		129,024	-		$0.2	$0.8
qwen3-30b-a3b	Thinking		98,304	38,912		$0.2	$2.4
qwen3-14b	Non-thinking		129,024	-	8,192	$0.35	$1.4
qwen3-14b	Thinking		98,304	38,912		$0.35	$4.2
qwen3-8b	Non-thinking		129,024	-		$0.18	$0.7
qwen3-8b	Thinking		98,304	38,912		$0.18	$2.1

Chinese Mainland

In Chinese Mainland deployment mode, the endpoint and data storage are both located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Mode	Context window	Max input	Max CoT	Max output	Input cost	Output cost	Free quota (Note)
Model	Mode	(tokens)				(per 1M tokens)		Free quota (Note)
qwen3-next-80b-a3b-thinking	Thinking only	131,072	126,976	81,920	32,768	$0.144	$1.434	No free quota
qwen3-next-80b-a3b-instruct	Thinking mode is unavailable.		129,024	-		$0.144	$0.574
qwen3-235b-a22b-thinking-2507	Thinking only		126,976	81,920		$0.287	$2.868
qwen3-235b-a22b-instruct-2507	Non-thinking		129,024	-		$0.287	$1.147
qwen3-30b-a3b-thinking-2507	Thinking only		126,976	81,920		$0.108	$1.076
qwen3-30b-a3b-instruct-2507	Non-thinking		129,024	-		$0.108	$0.431
qwen3-235b-a22b	Non-thinking		129,024	-	16,384	$0.287	$1.147
qwen3-235b-a22b	Thinking		98,304	38,912		$0.287	$2.868
qwen3-32b	Non-thinking		129,024	-		$0.287	$1.147
qwen3-32b	Thinking		98,304	38,912		$0.287	$2.868
qwen3-30b-a3b	Non-thinking		129,024	-		$0.108	$0.431
qwen3-30b-a3b	Thinking		98,304	38,912		$0.108	$1.076
qwen3-14b	Non-thinking		129,024	-	8,192	$0.144	$0.574
qwen3-14b	Thinking		98,304	38,912		$0.144	$1.434
qwen3-8b	Non-thinking		129,024	-		$0.072	$0.287
qwen3-8b	Thinking		98,304	38,912		$0.072	$0.717
qwen3-4b	Non-thinking		129,024	-		$0.044	$0.173
qwen3-4b	Thinking		98,304	38,912			$0.431
qwen3-1.7b	Non-thinking	32,768	30,720	-			$0.173
qwen3-1.7b	Thinking		28,672	The sum of the input values must not exceed 30,720.			$0.431
qwen3-0.6b	Non-thinking		30,720	-			$0.173
qwen3-0.6b	Thinking		28,672	The sum of the input must not exceed 30,720.			$0.431

QwQ – Open source

QwQ is an inference model trained on Qwen2.5-32B. It uses reinforcement learning to significantly improve its reasoning ability. Its core metrics, including math and coding benchmarks (AIME 24/25, LiveCodeBench) and general benchmarks (IFEval, LiveBench), match those of the full DeepSeek-R1 model. Its performance on all metrics notably exceeds that of DeepSeek-R1-Distill-Qwen-32B, which is also based on Qwen2.5-32B. Usage | API reference

Note

Model	Context window	Max input	Max CoT	Max output	Input cost	Output cost
Model	(tokens)				(per 1M tokens)
qwq-32b	131,072	98,304	32,768	8,192	$0.287	$0.861

QwQ-Preview

qwq-32b-preview is an experimental research model developed by the Qwen team in 2024. It focuses on enhancing AI reasoning, especially for math and programming. For its limitations, see the QwQ official blog. Usage | API reference | Try it online

Note

Model	Context window	Max input	Max output	Input cost	Output cost
Model	(tokens)			(per 1M tokens)
qwq-32b-preview	32,768	30,720	16,384	$0.287	$0.861

Qwen2.5

Qwen2.5 is a large language model series from Qwen. This series includes multiple base and instruction-tuned models, with parameter counts that range from 7 billion to 72 billion. Key improvements over Qwen2 include the following:

Pre-trained on our latest large-scale dataset that contains up to 18 trillion tokens.
Expanded knowledge and significantly improved coding and math abilities, thanks to domain-specific expert models.
Better instruction following, long-text generation (over 8K tokens), structured data understanding (such as tables), and structured output generation (especially JSON). More robust handling of diverse system prompts, better role assumption, and conditional settings for chatbots.
Supports over 29 languages, such as Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, and Arabic.

Usage | API reference | Try it online

International

In the international deployment mode, the endpoint and data storage are located in the Singapore region. Model inference compute resources are dynamically scheduled globally, excluding Chinese Mainland.

Model	Context window	Max input	Max output	Input cost	Output cost	Free quota
	(tokens)			(per 1M tokens)
qwen2.5-14b-instruct-1m	1,008,192	1,000,000	8,192	$0.805	$3.22	1 million tokens each Valid for 90 days after activating Model Studio
qwen2.5-7b-instruct-1m				$0.368	$1.47
qwen2.5-72b-instruct	131,072	129,024		$1.4	$5.6
qwen2.5-32b-instruct				$0.7	$2.8
qwen2.5-14b-instruct				$0.35	$1.4
qwen2.5-7b-instruct				$0.175	$0.7

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoint and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Context window	Max input	Max output	Input cost	Output cost
Model	(tokens)			(per 1M tokens)
qwen2.5-14b-instruct-1m	1,000,000	1,000,000	8,192	$0.144	$0.431
qwen2.5-7b-instruct-1m	1,000,000	1,000,000		$0.072	$0.144
qwen2.5-72b-instruct	131,072	129,024		$0.574	$1.721
qwen2.5-32b-instruct				$0.287	$0.861
qwen2.5-14b-instruct				$0.144	$0.431
qwen2.5-7b-instruct				$0.072	$0.144
qwen2.5-3b-instruct	32,768	30,720		$0.044	$0.130
qwen2.5-1.5b-instruct				Limited-time free
qwen2.5-0.5b-instruct				Limited-time free

QVQ

qvq-72b-preview is an experimental research model developed by the Qwen team. It focuses on improving visual reasoning, especially in math. For its limitations, see the QVQ official blog. Usage | API reference

To show the reasoning process before the final answer, you can use the commercial QVQ model.

Note

Model

Context window

Max input

Max output

Input cost

Output cost

(tokens)

(per 1M tokens)

qvq-72b-preview

32,768

16,384

Max 16,384 per image

16,384

$1.721

$5.161

Qwen-Omni

This is a new multimodal understanding and generation model built on Qwen2.5. It supports text, image, audio, and video inputs. It generates text and speech simultaneously in streaming mode. Its multimodal understanding speed is significantly improved. Usage | API reference

International

Model

Context window

Max input

Max output

Free quota

Note

(tokens)

qwen2.5-omni-7b

32,768

30,720

2,048

1 million tokens (no modality distinction)

Valid for 90 days after activating Model Studio

After your free quota runs out, billing applies as follows:

Input	Unit price (per 1M tokens)
Text	$0.10
Audio	$6.76
Image / video	$0.28

Output

Unit price (per 1M tokens)

Text

$0.40 (text-only input)

$0.84 (input includes images, audio, or video)

Text + audio

$13.51 (audio)

Text output is not billed.

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoint and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Context window	Max input	Max output
Model	(tokens)
qwen2.5-omni-7b	32,768	30,720	2,048

Billing rules for input and output:

Input	Unit price (per 1M tokens)
Text	$0.087
Audio	$5.448
Image / video	$0.287

Output

Unit price (per 1M tokens)

Text

$0.345 (text-only input)

$0.861 (input includes images, audio, or video)

Text + audio

$10.895 (audio)

Text output is not billed.

Qwen3-Omni-Captioner

Qwen3-Omni-Captioner is an open-source model built on Qwen3-Omni. It generates precise, comprehensive descriptions for complex audio, including ambient sounds, music, and sound effects, without requiring prompts. It detects speaker emotion, musical elements (such as genre and instruments), and sensitive content. Use cases include audio content analysis, security review, intent recognition, and audio editing. Usage | API reference

International

Model

Context window

Max input

Max output

Input cost

Output cost

Free quota

(Note)

(tokens)

(per 1M tokens)

qwen3-omni-30b-a3b-captioner

65,536

32,768

$3.81

$3.06

1 million tokens

Valid for 90 days after activating Model Studio

Chinese Mainland

In Chinese Mainland deployment mode, the endpoint and data storage are both located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model

Context window

Max input

Max output

Input cost

Output cost

Free quota

(Note)

(tokens)

(per 1M tokens)

qwen3-omni-30b-a3b-captioner

65,536

32,768

$2.265

$1.821

No free quota.

Qwen-VL

The Qwen-VL open-source model from Alibaba Cloud. Usage | API reference

Compared to Qwen2.5-VL, Qwen3-VL delivers significant improvements:

Agent interaction: It can operate computer or mobile interfaces, recognize GUI elements, understand their functions, and call tools to perform tasks, achieving top-tier performance in evaluations such as OS World.
Visual coding: It generates code from images or videos and supports creating HTML, CSS, and JavaScript code from design mockups, website screenshots, and similar inputs.
Spatial intelligence: It supports 2D and 3D positioning and accurately judges object orientation, perspective changes, and occlusion relationships.
Long video understanding: It supports understanding video content up to 20 minutes long and provides precise localization down to the second.
Deep thinking: It has deep thinking capabilities and excels at capturing fine details and analyzing cause-and-effect relationships, achieving top-tier performance in evaluations such as MathVista and MMMU.
OCR: Language support is expanded to 33 languages. The model delivers more stable performance in scenarios with complex lighting, blur, or tilted text. It also provides significantly improved accuracy for rare characters, ancient texts, and professional terminology.
Supported languages
The model supports the following 33 languages: Chinese, Japanese, Korean, Indonesian, Vietnamese, Thai, English, French, German, Russian, Portuguese, Spanish, Italian, Swedish, Danish, Czech, Norwegian, Dutch, Finnish, Turkish, Polish, Swahili, Romanian, Serbian, Greek, Kazakh, Uzbek, Cebuano, Arabic, Urdu, Persian, Hindi/Devanagari, and Hebrew.

International

Model	Mode	Context window	Max input	Max CoT	Max output	Input cost	Output cost CoT + output	Free quota (Note)
Model	Mode	(tokens)				(per 1M tokens)		Free quota (Note)
qwen3-vl-235b-a22b-thinking	Thinking only		126,976	81,920		$0.4	$4	1 million tokens each Valid for 90 days after activating Model Studio
qwen3-vl-235b-a22b-instruct	Non-thinking		129,024	-		$0.4	$1.6
qwen3-vl-32b-thinking	Thinking only	131,072	126,976	81,920	32,768	$0.16	$0.64
qwen3-vl-32b-instruct	Non-thinking only		129,024	-		$0.16	$0.64
qwen3-vl-30b-a3b-thinking	Thinking only		126,976	81,920		$0.2	$2.4
qwen3-vl-30b-a3b-instruct	Non-thinking		129,024	-		$0.2	$0.8
qwen3-vl-8b-thinking	Thinking		126,976	81,920		$0.18	$2.1
qwen3-vl-8b-instruct	Non-thinking		129,024	-		$0.18	$0.7

More models

Model	Context window	Max input	Max output	Input cost	Output cost	Free quota (Note)
	(tokens)			(per 1M tokens)
qwen2.5-vl-72b-instruct	131,072	129,024 Max per image: 16,384	8,192	$2.8	$8.4	1 million tokens each Valid for 90 days after Model Studio activation
qwen2.5-vl-32b-instruct				$1.4	$4.2
qwen2.5-vl-7b-instruct				$0.35	$1.05
qwen2.5-vl-3b-instruct				$0.21	$0.63

Global

In global deployment mode, the endpoint and data storage are both located in the US (Virginia) region. Model inference compute resources are dynamically scheduled worldwide.

Model	Mode	Context window	Max input	Max CoT	Max output	Input cost	Output cost CoT + output
Model	Mode	(tokens)				(per 1M tokens)
qwen3-vl-235b-a22b-thinking	Thinking only		126,976	81,920		$0.4	$4
qwen3-vl-235b-a22b-instruct	Non-thinking only		129,024	-		$0.4	$1.6
qwen3-vl-32b-thinking	Thinking only	131,072	126,976	81,920	32,768	$0.16	$0.64
qwen3-vl-32b-instruct	Non-thinking only		129,024	-		$0.16	$0.64
qwen3-vl-30b-a3b-thinking	Thinking only		126,976	81,920		$0.2	$2.4
qwen3-vl-30b-a3b-instruct	Non-thinking only		129,024	-		$0.2	$0.8
qwen3-vl-8b-thinking	Thinking only		126,976	81,920		$0.18	$2.1
qwen3-vl-8b-instruct	Non-thinking only		129,024	-		$0.18	$0.7

Chinese Mainland

In Chinese Mainland deployment mode, the endpoint and data storage are both located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Mode	Context window	Max input	Max CoT	Max output	Input cost	Output cost CoT + output	Free quota (Note)
Model	Mode	(tokens)				(per 1M tokens)		Free quota (Note)
qwen3-vl-235b-a22b-thinking	Thinking only	131,072	126,976	81,920		$0.287	$2.867	No free quota
qwen3-vl-235b-a22b-instruct	Non-thinking only	131,072	129,024	-		$0.287	$1.147
qwen3-vl-32b-thinking	Thinking only	131,072	126,976	81,920	32,768	$0.287	$2.868
qwen3-vl-32b-instruct	Non-thinking only		129,024	-		$0.287	$1.147
qwen3-vl-30b-a3b-thinking	Thinking only		126,976	81,920		$0.108	$1.076
qwen3-vl-30b-a3b-instruct	Non-thinking only		129,024	-		$0.108	$0.431
qwen3-vl-8b-thinking	Thinking only		126,976	81,920		$0.072	$0.717
qwen3-vl-8b-instruct	Non-thinking only		129,024	-		$0.072	$0.287

More models

Model	Context window	Max input	Max output	Input cost	Output cost	Free quota (Note)
Model	(tokens)			(per 1M tokens)		Free quota (Note)
qwen2.5-vl-72b-instruct	131,072	129,024 Max per image: 16,384	8,192	$2.294	$6.881	No free quota
qwen2.5-vl-32b-instruct				$1.147	$3.441
qwen2.5-vl-7b-instruct				$0.287	$0.717
qwen2.5-vl-3b-instruct				$0.173	$0.517
qwen2-vl-72b-instruct	32,768	30,720 Max per image: 16,384	2,048	$2.294	$6.881

Qwen-Math

A language model built on Qwen, specialized for solving math problems. Qwen2.5-Math supports Chinese and English, and integrates multiple reasoning methods, including Chain of Thought (CoT), Program of Thought (PoT), and Tool-Integrated Reasoning (TIR). Usage | API reference | Try it online

Note

Model	Context window	Max input	Max output	Input cost	Output cost
	(tokens)			(per 1M tokens)
qwen2.5-math-72b-instruct	4,096	3,072	3,072	$0.574	$1.721
qwen2.5-math-7b-instruct				$0.144	$0.287
qwen2.5-math-1.5b-instruct				Limited-time free

Qwen-Coder

The open-source Qwen code model. The latest Qwen3-Coder series excels at Coding Agent tasks, especially tool calling and environment interaction, which enables autonomous programming while maintaining strong general-purpose capabilities. Usage | API reference

International

Model	Context window	Max input	Max output	Input cost	Output cost	Free quota (Note)
	(Number of tokens)
qwen3-coder-next	262,144	204,800	65,536	Tiered pricing. See the note below the table.		1 million tokens each Valid for 90 days after activating Model Studio
qwen3-coder-480b-a35b-instruct
qwen3-coder-30b-a3b-instruct

The above models use tiered pricing based on the number of input tokens in the current request.

Model	Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
qwen3-coder-next	0 < tokens ≤ 32K	$0.3	$1.5
	32K < tokens ≤ 128K	$0.5	$2.5
	128K < tokens ≤ 256K	$0.8	$4
qwen3-coder-480b-a35b-instruct	0 < tokens ≤ 32K	$1.5	$7.5
	32K < tokens ≤ 128K	$2.7	$13.5
	128K < tokens ≤ 200K	$4.5	$22.5
qwen3-coder-30b-a3b-instruct	0 < tokens ≤ 32K	$0.45	$2.25
	32K < tokens ≤ 128K	$0.75	$3.75
	128K < tokens ≤ 200K	$1.2	$6

Global

In global deployment mode, the endpoint and data storage are both located in the US (Virginia) region. Model inference compute resources are dynamically scheduled worldwide.

Model	Context window	Max input	Max output	Input cost	Output cost
	(tokens)			(per 1M tokens)
qwen3-coder-480b-a35b-instruct	262,144	204,800	65,536	Pricing is tiered. See the note below the table.
qwen3-coder-30b-a3b-instruct

qwen3-coder-480b-a35b-instruct and qwen3-coder-30b-a3b-instruct use tiered pricing based on the number of input tokens in the current request.

Model	Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
qwen3-coder-480b-a35b-instruct	0 < Tokens ≤ 32K	$1.50	$7.50
	32K < Tokens ≤ 128K	$2.70	$13.50
	128K < Tokens ≤ 200K	$4.50	$22.50
qwen3-coder-30b-a3b-instruct	0 < Tokens ≤ 32K	$0.45	$2.25
	32K < Tokens ≤ 128K	$0.75	$3.75
	128K < Tokens ≤ 200K	$1.2	$6

Chinese Mainland

In Chinese Mainland deployment mode, the endpoint and data storage are both located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Context window	Max input	Max output	Input cost	Output cost
	(tokens)			(per 1M tokens)
qwen3-coder-next	262,144	204,800	65,536	Tiered pricing. See the description below the table.
qwen3-coder-480b-a35b-instruct
qwen3-coder-30b-a3b-instruct

The above models use tiered pricing based on the number of input tokens in the current request.

Model	Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
qwen3-coder-next	0 < Tokens ≤ 32K	$0.144	$0.574
	32K < Tokens ≤ 128K	$0.216	$0.861
	128K < Tokens ≤ 256K	$0.359	$1.434
qwen3-coder-480b-a35b-instruct	0 < Tokens ≤ 32K	$0.861	$3.441
	32K < Tokens ≤ 128K	$1.291	$5.161
	128K < Tokens ≤ 200K	$2.151	$8.602
qwen3-coder-30b-a3b-instruct	0 < Tokens ≤ 32K	$0.216	$0.861
	32K < Tokens ≤ 128K	$0.323	$1.291
	128K < Tokens ≤ 200K	$0.538	$2.151

More models

Model	Context window	Max input	Max output	Input cost	Output cost
	(tokens)			(per 1M tokens)
qwen2.5-coder-32b-instruct	131,072	129,024	8,192	$0.287	$0.861
qwen2.5-coder-14b-instruct
qwen2.5-coder-7b-instruct				$0.144	$0.287
qwen2.5-coder-3b-instruct	32,768	30,720		Limited-time free trial
qwen2.5-coder-1.5b-instruct
qwen2.5-coder-0.5b-instruct

Text generation – Third-party

DeepSeek

DeepSeek is a large language model developed by DeepSeek. API reference | Try it online

Note

Model	Context window	Max input	Max CoT	Max output	Input cost	Output cost
	(tokens)				(per 1M tokens)
deepseek-v3.2 Full 685B version Context cache discount applies	131,072	98,304	32,768	65,536	$0.287	$0.431
deepseek-v3.2-exp Full 685B version
deepseek-v3.1 Full 685B version					$0.574	$1.721
deepseek-r1 Full 685B version Batch calls at 50% off				16,384		$2.294
deepseek-r1-0528 Full 685B version
deepseek-v3 Full 671B version Batch calls at 50% off		131,072	Not applicable		$0.287	$1.147
deepseek-r1-distill-qwen-1.5b Based on Qwen2.5-Math-1.5B	32,768	32,768	16,384	16,384	Limited-time free trial
deepseek-r1-distill-qwen-7b Based on Qwen2.5-Math-7B					$0.072	$0.144
deepseek-r1-distill-qwen-14b Based on Qwen2.5-14B					$0.144	$0.431
deepseek-r1-distill-qwen-32b Based on Qwen2.5-32B					$0.287	$0.861
deepseek-r1-distill-llama-8b Based on Llama-3.1-8B					Limited-time free trial
deepseek-r1-distill-llama-70b Based on Llama-3.3-70B

Kimi

Kimi-K2 is a large language model developed by Moonshot AI. It excels at coding and tool calling. Usage | Try it online

Note

Model	Mode	Context window	Max input	Max CoT	Max response	Input cost	Output cost
Model	Mode	(tokens)				(per 1M tokens)
kimi-k2.5	Thinking	262,144	258,048	32,768	32,768	$0.574	$3.011
kimi-k2.5	Non-thinking	262,144	260,096	-	32,768	$0.574	$3.011
kimi-k2-thinking	Thinking	262,144	229,376	32,768	16,384	$0.574	$2.294
Moonshot-Kimi-K2-Instruct	Non-thinking	131,072	131,072	-	8,192	$0.574	$2.294

GLM

GLM models are hybrid reasoning models from Zhipu AI, designed specifically for agents. They support both thinking and non-thinking modes. GLM

Note

Model	Context window	Max input	Max CoT	Max output	Input cost	Output cost
	(tokens)				(per 1M tokens)
glm-5	202,752	202,752	32,768	16,384	Tiered pricing, see the table below
glm-4.7		169,984
glm-4.6

Pricing for these models depends on the number of input tokens per request.

Model	Input tokens per request	Input cost (per 1M tokens)	Output cost (per 1M tokens)
glm-5	0 < tokens ≤ 32K	$0.573	$2.58
glm-5	32K < tokens ≤ 166K	$0.86	$3.154
glm-4.7	0 < tokens ≤ 32K	$0.431	$2.007
glm-4.7	32K < tokens ≤ 166K	$0.574	$2.294
glm-4.6	0 < tokens ≤ 32K	$0.431	$2.007
glm-4.6	32K < tokens ≤ 166K	$0.574	$2.294

These models are not third-party services. They run entirely on Alibaba Cloud Model Studio servers.

GLM models charge the same rate for thinking and non-thinking modes.

Image generation

Qwen image generation

Qwen text-to-image models excel at rendering complex text, especially bilingual Chinese-English text. API reference

International

Model	Unit price	Free quota
Model	Unit price	Free quota
qwen-image-max Currently has the same capabilities as qwen-image-max-2025-12-30	$0.075/image	Free quota: 100 images for each model Valid for 90 days after activating Model Studio
qwen-image-max-2025-12-30	$0.075/image
qwen-image-plus Currently has the same capabilities as qwen-image	$0.03/image
qwen-image-plus-2026-01-09	$0.03/image
qwen-image	$0.035/image

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoint and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Unit price	Free quota
Model	Unit price	Free quota
qwen-image-max Currently has the same capabilities as qwen-image-max-2025-12-30	$0.071677/image	No free quota
qwen-image-max-2025-12-30	$0.071677/image
qwen-image-plus Currently has the same capabilities as qwen-image	$0.028671/image
qwen-image-plus-2026-01-09	$0.028671/image
qwen-image	$0.035/image

Input prompt

Output image

Healing-style hand-drawn poster featuring three puppies playing with a ball on lush green grass, adorned with decorative elements such as birds and stars. The main title “Come Play Ball!” is prominently displayed at the top in bold, blue cartoon font. Below it, the subtitle “Come [Show Off Your Skills]!” appears in green font. A speech bubble adds playful charm with the text: “Hehe, watch me amaze my little friends next!” At the bottom, supplementary text reads: “We get to play ball with our friends again!” The color palette centers on fresh greens and blues, accented with bright pink and yellow tones to highlight a cheerful, childlike atmosphere.

Qwen image editing

Qwen image editing models support precise bilingual (Chinese-English) text editing, color correction, detail enhancement, style transfer, object addition or removal, position changes, and motion adjustments, which enables complex image-text editing. API reference

International

Model	Unit price	Free quota
Model	Unit price	Free quota
qwen-image-edit-max Currently has the same capabilities as qwen-image-edit-max-2026-01-16	$0.075/image	Free quota: 100 images for each model Valid for 90 days after activating Model Studio
qwen-image-edit-max-2026-01-16	$0.075/image
qwen-image-edit-plus Currently has the same capabilities as qwen-image-edit-plus-2025-10-30	$0.03/image
qwen-image-edit-plus-2025-12-15	$0.03/image
qwen-image-edit-plus-2025-10-30	$0.03/image
qwen-image-edit	$0.045/image

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoint and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Unit price	Free quota
Model	Unit price	Free quota
qwen-image-edit-max Currently has the same capabilities as qwen-image-edit-max-2026-01-16	$0.071677/image	No free quota
qwen-image-edit-max-2026-01-16	$0.071677/image
qwen-image-edit-plus Currently has the same capabilities as qwen-image-edit-plus-2025-10-30	$0.028671/image
qwen-image-edit-plus-2025-12-15	$0.028671/image
qwen-image-edit-plus-2025-10-30	$0.028671/image
qwen-image-edit	$0.043/image

dog_and_girl (1)

Original image

狗修改图

Change the person’s pose to standing and bending to hold the dog’s front paw.

Original image

Replace the words “HEALTH INSURANCE” on the letter blocks with “明天会更好.”

Original image

5out

Replace the polka-dot shirt with a light blue shirt.

Original image

6out

Change the background to Antarctica.

Original image

7out

Generate a cartoon avatar of the person.

Original image

Remove the hair from the plate.

Qwen image translation

Qwen image translation models support translating text in images from 11 languages into Chinese or English. They preserve the original layout and content precisely, and offer custom features such as term definitions, sensitive words filtering, and subject detection. API reference

Note

Model	Unit price	Free quota

qwen-mt-image	$0.000431/image	No free quota

Original image

Japanese

Portuguese

Arabic

Z-Image

Tongyi - text-to-image - Z-Image is a lightweight model that quickly generates high-quality images. The model supports Chinese and English text rendering, complex semantic understanding, various styles, and multiple resolutions and aspect ratios. API reference

International

Model

Unit price

Free quota (Note)

_{Valid for 90 days after activating Model Studio}

z-image-turbo

Prompt extension disabled (prompt_extend=false): $0.015/image

Prompt extension enabled (prompt_extend=true): $0.03/image

100 images

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoint and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model

Unit price

Free quota

z-image-turbo

Prompt extension disabled (prompt_extend=false): $0.01434/image

Prompt extension enabled (prompt_extend=true): $0.02868/image

No free quota

Input prompt

Output image

Photo of a stylish young woman with short black hair standing confidently in front of a vibrant cartoon-style mural wall. She wears an all-black outfit: a puffed bomber jacket with a ruffled collar, cargo shorts, fishnet tights, and chunky black Doc Martens, with a gold chain dangling from her waist. The background features four colorful comic-style panels: one reads “GRAND STAGE” and includes sneakers and a Gatorade bottle; another displays green Nike sneakers and a slice of pizza; the third reads “HARAJUKU st” with floating shoes; and the fourth shows a blue mouse riding a skateboard with the text “Takeshita WELCOME.” Dominant bright colors include yellow, teal, orange, pink, and green. Speech bubbles, halftone patterns, and playful characters enhance the urban street-art aesthetic. Daylight evenly illuminates the scene, and the ground beneath her feet is white tiled pavement. Full-body portrait, centered composition, slightly tilted stance, direct eye contact with the camera. High detail, sharp focus, dynamic framing.

b16c8008-83c1-4c80-ae22-786a2299bec3-1-转换自-png

Wan text-to-image

Wan text-to-image models generate high-quality images from simple text prompts. API reference | Try it online

Global

In the global deployment mode, the endpoint and data storage are located in the US (Virginia) region. Model inference compute resources are dynamically scheduled globally.

Model

Description

Unit price

Free quota (Note)

_{Valid for 90 days after activating Model Studio}

wan2.6-t2i Recommended

Wan 2.6. Supports new synchronous interfaces and lets you freely select dimensions within the constraints of total pixel area and aspect ratio.

$0.03/image

No free quota

International

Model	Description	Unit price	Free quota (Note) _{Valid for 90 days after activating Model Studio}
wan2.6-t2i `Recommended`	Wan 2.6. Supports new synchronous interfaces and lets you freely select dimensions within the constraints of total pixel area and aspect ratio.	$0.03/image	50 images
wan2.5-t2i-preview `Recommended`	Wan 2.5 preview. Removes single-side length limits and lets you freely select dimensions within the constraints of total pixel area and aspect ratio.	$0.03/image	50 images
wan2.2-t2i-plus	Wan 2.2 Professional Edition. Fully upgraded in creativity, stability, and realistic texture.	$0.05/image	100 images
wan2.2-t2i-flash	Wan 2.2 Flash Edition. Fully upgraded in creativity, stability, and realistic texture.	$0.025/image	100 images
wan2.1-t2i-plus	Wan 2.1 Professional Edition. Supports multiple styles and generates images with rich details.	$0.05/image	200 images
wan2.1-t2i-turbo	Wan 2.1 Turbo Edition. Supports multiple styles and offers fast generation speed.	$0.025/image	200 images

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoint and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Description	Unit price	Free quota (Note) _{Valid for 90 days after activating Model Studio}
wan2.6-t2i `Recommended`	Wan 2.6. Supports new synchronous interfaces and lets you freely select dimensions within the constraints of total pixel area and aspect ratio.	$0.028671/image	No free quota
wan2.5-t2i-preview `Recommended`	Wan 2.5 preview. Removes single-side length limits and lets you freely select dimensions within the constraints of total pixel area and aspect ratio.	$0.028671/image	No free quota
wan2.2-t2i-plus	Wan 2.2 Professional Edition. Fully upgraded in creativity, stability, and realistic texture.	$0.02007/image	No free quota
wan2.2-t2i-flash	Wan 2.2 Flash Edition. Fully upgraded in creativity, stability, and realistic texture.	$0.028671/image	No free quota
wanx2.1-t2i-plus	Wan 2.1 Professional Edition. Supports multiple styles and generates images with rich details.	$0.028671/image	No free quota
wanx2.1-t2i-turbo	Wan 2.1 Turbo Edition. Supports multiple styles and offers fast generation speed.	$0.020070/image	No free quota
wanx2.0-t2i-turbo	Wan 2.0 Turbo Edition. Excels at textured portraits and creative designs. It is cost-effective.	$0.005735/image	No free quota

Prompt	Generated image
A needle-felted Santa holding a gift, with a white cat standing beside him. The background shows many colorful gifts. The scene should feel cute, warm, and cozy, with some green plants in the background.

Wan image generation and editing 2.6

Wan image generation models support image editing and mixed text-image outputs to meet diverse generation and integration needs. API reference

Global

In global deployment mode, both endpoint and data storage are located in the US (Virginia) region. Model inference compute resources are dynamically scheduled globally.

Model	Unit price	Free quota
wan2.6-image	$0.03/image	No free quota

International

In international deployment mode, both endpoint and data storage are located in the Singapore region. Model inference compute resources are dynamically scheduled globally, excluding Chinese Mainland.

Model

Unit price

Free quota (Note)

_{Valid for 90 days after activating Model Studio}

wan2.6-image

$0.03/image

50 images

Chinese Mainland

In Chinese Mainland deployment mode, both endpoint and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Unit price	Free quota
wan2.6-image	$0.028671/image	No free quota

Wan general image editing 2.5

Wan general image editing 2.5 supports subject-consistent editing using text, a single image, or multiple images. It also enables multi-image fusion creation. API reference

International

In international deployment mode, the endpoint and data storage are both located in the Singapore region. Model inference compute resources are dynamically scheduled globally, excluding Chinese Mainland.

Model

Unit price

Free quota (Note)

_{Valid for 90 days after activating Model Studio}

wan2.5-i2i-preview

$0.03/image

50 units

Chinese Mainland

In Chinese Mainland deployment mode, the endpoint and data storage are both located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Unit price	Free quota
wan2.5-i2i-preview	$0.028671/image	No free quota

Feature

Input example

Output image

Single-image editing

damotest2023_Portrait_photography_outdoors_fashionable_beauty_409ae3c1-19e8-4515-8e50-b3c9072e1282_2-转换自-png

a26b226d-f044-4e95-a41c-d1c0d301c30b-转换自-png

Change the floral dress to a vintage-style lace long dress with exquisite embroidery details on the collar and cuffs.

Multi-image fusion

p1028883

Place the alarm clock from Image 1 next to the vase on the dining table in Image 2.

Wan general image editing 2.1

Wan general image editing models enable diverse image editing tasks using simple instructions. Use cases include image expansion, watermark removal, style transfer, image inpainting, and image enhancement. Usage | API reference

Note

Model	Unit price	Free quota
wanx2.1-imageedit	$0.020070 per image	No free quota

General image editing currently supports the following features:

Features	Input image	Prompt	Output image
Global stylization		Convert to a French picture-book style.
Local stylization		Turn the house into a wooden plank style.
Instruction-based editing		Change the girl's hair to red.
Local repaint	Input image Masked area (indicated in white)	A ceramic rabbit holding a ceramic flower.	Output image
Text watermark removal		Remove text from the image.
Image expansion		A green fairy.
Super resolution	Blurry image	Apply super resolution.	Sharp image
Image coloring		Blue background, yellow leaves.
Sketch-to-image		A Nordic minimalist living room.
Reference image		A cartoon character cautiously peeks at a brilliant blue gemstone inside the room.

OutfitAnyone

OutfitAnyone Plus improves image clarity, fabric texture detail, and logo fidelity over the Basic Edition but takes longer to generate. It is suitable for scenarios where generation time is not a critical factor. API reference | Try it online
OutfitAnyone image parsing separates models and clothing images. You can use it for pre- and post-processing AI try-on images. API reference

Note

Model	Description	Sample input	Sample output
aitryon-plus	OutfitAnyone Plus
aitryon-parsing-v1	OutfitAnyone image parsing

OutfitAnyone unit pricing

Service	Model	Unit price	Discount	Tier
OutfitAnyone Plus	aitryon-plus	$0.071677 per image	None	None
OutfitAnyone image parsing	aitryon-parsing-v1	$0.000574 per image	None	None

Video generation – Wan

Text-to-video

Wan text-to-video models generate videos from a single sentence, delivering rich artistic styles and cinematic quality. API reference | Try it online

Global

In the global deployment mode, the endpoint and data storage are located in the US (Virginia) region. Model inference compute resources are dynamically scheduled globally.

Model

Description

Unit price

Free quota

wan2.6-t2v Recommended

Wan 2.6. Introduces multi-shot narrative capability and supports automatic voiceover and custom audio file input.

720P: $0.1/second

1080P: $0.15/second

No free quota

International

Model	Description	Unit price	Free quota (Claim) _{Valid for 90 days after activating Model Studio}
wan2.6-t2v `Recommended`	Wan 2.6. Introduces multi-shot narrative capability and supports automatic voiceover and custom audio file input.	720P: $0.10/second 1080P: $0.15/second	50 seconds
wan2.5-t2v-preview `Recommended`	Wan 2.5 preview. Supports automatic voiceover and custom audio file input.	480P: $0.05/second 720P: $0.10/second 1080P: $0.15/second	50 seconds
wan2.2-t2v-plus	Wan 2.2 Professional Edition. Significantly improved image detail and motion stability.	480P: $0.02/second 1080P: $0.10/second	50 seconds
wan2.1-t2v-turbo	Wan 2.1 Turbo Edition. Fast generation speed and balanced performance.	$0.036/second	200 seconds
wan2.1-t2v-plus	Wan 2.1 Professional Edition. Generates rich details and higher-quality visuals.	$0.10/second	200 seconds

US

In the US deployment mode, the endpoint and data storage are located in the US (Virginia) region. Model inference compute resources are limited to the US.

Model

Description

Unit price

Free quota

wan2.6-t2v-us Recommended

Wan 2.6. Introduces multi-shot narrative capability and supports automatic voiceover and custom audio file input.

720P: $0.1/second

1080P: $0.15/second

No free quota

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoint and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Description	Unit price	Free quota
wan2.6-t2v`Recommended`	Wan 2.6. Introduces multi-shot narrative capability and supports automatic voiceover and custom audio file input.	720P: $0.086012/second 1080p: 0.143353 per second	No free quota
wan2.5-t2v-preview`Recommended`	Wan 2.5 preview. Supports automatic voiceover and custom audio file input.	480P: $0.043006/second 720P: $0.086012/second 1080P: $0.143353/second	No free quota
wan2.2-t2v-plus	Wan 2.2 Professional Edition. Significantly improved image detail and motion stability.	480P: $0.02007/second 1080P: $0.100347/second	No free quota
wanx2.1-t2v-turbo	Faster generation speed and balanced performance.	$0.034405/second	No free quota
wanx2.1-t2v-plus	Generates richer details and higher-quality visuals.	$0.100347/second	No free quota

Input prompt

Output video (wan2.6, multi-shot video)

Shot from a low angle, in a medium close-up, with warm tones, mixed lighting (the practical light from the desk lamp blends with the overcast light from the window), side lighting, and a central composition. In a classic detective office, wooden bookshelves are filled with old case files and ashtrays. A green desk lamp illuminates a case file spread out in the center of the desk. A fox, wearing a dark brown trench coat and a light gray fedora, sits in a leather chair, its fur crimson, its tail resting lightly on the edge, its fingers slowly turning yellowed pages. Outside, a steady drizzle falls beneath a blue sky, streaking the glass with meandering streaks. It slowly raises its head, its ears twitching slightly, its amber eyes gazing directly at the camera, its mouth clearly moving as it speaks in a smooth, cynical voice: 'The case was cold, colder than a fish in winter. But every chicken has its secrets, and I, for one, intended to find them'.

Image-to-video – first frame

Wan image-to-video models use your input image as the first frame, then generate a video based on your prompt, delivering rich artistic styles and cinematic quality. API reference | Try it online

Global

In the global deployment mode, the endpoint and data storage are located in the US (Virginia) region. Model inference compute resources are dynamically scheduled globally.

Model

Description

Unit price

Free quota

wan2.6-i2v Recommended

Wan 2.6. Introduces multi-shot narrative capability and supports automatic voiceover and custom audio file input.

720P: $0.1/second

1080P: $0.15/second

No free quota

International

Model	Description	Unit price	Free quota (Note) _{Valid for 90 days after activating Model Studio}
wan2.6-i2v-flash `Recommended`	Wan 2.6. Introduces multi-shot narrative capability and supports automatic voiceover and custom audio file input.	Output video with audio `audio=true`: 720P: $0.05/second 1080P: $0.075/second Output video without audio `audio=false`: 720P: $0.025/second 1080P: $0.0375/second	50 seconds
wan2.6-i2v `Recommended`	Wan 2.6. Introduces multi-shot narrative capability and supports automatic voiceover and custom audio file input.	720P: $0.10/second 1080P: $0.15/second	50 seconds
wan2.5-i2v-preview `Recommended`	Wan 2.5 preview. Supports automatic dubbing and custom audio file uploads.	480P: $0.05/second 720P: $0.10/second 1080P: $0.15/second	50 seconds
wan2.2-i2v-flash	Wan 2.2 Flash Edition. Extremely fast generation speed with significant improvements in visual detail and motion stability.	480P: $0.015/second 720P: $0.036/second	50 seconds
wan2.2-i2v-plus	Wan 2.2 Professional Edition. Delivers significant improvements in visual detail and motion stability.	480P: $0.02/second 1080P: $0.10/second	50 seconds
wan2.1-i2v-turbo	Wan 2.1 Turbo Edition. Fast generation speed with balanced performance.	$0.036/second	200 seconds
wan2.1-i2v-plus	Wan 2.1 Professional Edition. Generates rich details and produces higher-quality, more textured visuals.	$0.10/second	200 seconds

US

In the US deployment mode, the endpoint and data storage are located in the US (Virginia) region. Model inference compute resources are limited to the US.

Model

Description

Unit price

Free quota

wan2.6-i2v-us Recommended

Wan 2.6. Introduces multi-shot narrative capability and supports automatic voiceover and custom audio file input.

720P: $0.1/second

1080P: $0.15/second

No free quota

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoint and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Description	Unit price	Free quota
wan2.6-i2v-flash `Recommended`	Wan 2.6. Introduces multi-shot narrative capability and supports automatic voiceover and custom audio file input.	Output video with audio `audio=true`: 720P: $0.043006/second 1080P: $0.071676/second Output video without audio `audio=false`: 720P: $0.021503/second 1080P: $0.035838/second	No free quota
wan2.6-i2v `Recommended`	Wan 2.6. Introduces multi-shot narrative capability and supports automatic voiceover and custom audio file input.	720P: $0.086012/second 1080P: $0.143353/second	No free quota
wan2.5-i2v-preview	Wan 2.5 preview. Supports automatic dubbing and custom audio file uploads.	480P: $0.043006/second 720P: $0.086012/second 1080P: $0.143353/second	No free quota
wan2.2-i2v-plus	Wan 2.2 Professional Edition. Delivers significant improvements in visual detail and motion stability.	480P: $0.02007/second 1080P: $0.100347/second	No free quota
wanx2.1-i2v-turbo	Wan 2.1 Turbo Edition. Fast generation speed with balanced performance.	$0.034405/second	No free quota
wanx2.1-i2v-plus	Wan 2.1 Professional Edition. Generates rich details and produces higher-quality, more textured visuals.	$0.100347/second	No free quota

Input prompt

Input first-frame image and audio

Output video (wan2.6, multi-shot video)

A scene of urban fantasy art. A dynamic graffiti-style character. A boy painted with spray paint comes alive from a concrete wall. He raps in English at high speed while striking a classic, energetic rapper pose. The setting is under a railway bridge in an urban area at night. Lighting comes from a single streetlamp, creating a cinematic atmosphere full of high energy and stunning detail. The video's audio consists entirely of his rap, with no other dialogue or noise.

rap-转换自-png

Input audio:

Image-to-video – first and last frames

Wan first-and-last-frame video generation models generate smooth, fluid videos from just two input frames, the first and last, plus a prompt. Videos feature rich artistic styles and cinematic quality. API reference | Try it online

International

Model

Unit price

Free quota (Note)

_{Valid for 90 days after activating Model Studio}

wan2.2-kf2v-flash

480P: $0.015/second

720P: $0.036/second

1080P: $0.07/second

50 seconds

wan2.1-kf2v-plus

$0.10/second

200 seconds

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoint and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model

Unit price

Free quota (Note)

wan2.2-kf2v-flash

480P: $0.014335/second

720P: $0.028671/second

1080P: $0.068809/second

No free quota

wanx2.1-kf2v-plus

$0.100347/second

No free quota

Input example			Output video
First frame	Last frame	Prompt	Output video
		Realistic style. A black kitten curiously looks up at the sky. The camera starts at eye level and gradually rises to an overhead view of the kitten’s curious gaze.

Reference-to-video

Wan reference-to-video models generate consistent-character videos using the character's appearance and voice tone from an input reference video, combined with your prompt. API reference

Billing rules: Both input and output videos are billed by video seconds. Failed requests are not billed and do not consume the free quota.

The input video billing duration is capped at 5 seconds. For more information, see Wan Reference-to-video.
The output video billing duration equals the number of successfully generated seconds.

Global

In the global deployment mode, the endpoint and data storage are located in the US (Virginia) region. Model inference compute resources are dynamically scheduled globally.

Model

Output video type

Input & output price

Free quota (Note)

wan2.6-r2v

Video with audio

720P: $0.1/second

1080P: $0.15/second

No free quota

International

Model	Output video type	Input & output price	Free quota (Note)
wan2.6-r2v-flash `Recommended`	Video with audio `audio=true`	720P: $0.05/second 1080P: $0.075/second	50 seconds Valid for 90 days after activating Model Studio
wan2.6-r2v-flash `Recommended`	Video without audio `audio=false`	720P: $0.025/second 1080P: $0.0375/second	50 seconds Valid for 90 days after activating Model Studio
wan2.6-r2v	Video with audio	720P: $0.10/second 1080P: $0.15/second	50 seconds Valid for 90 days after activating Model Studio

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoint and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Output video type	Input & output price	Free quota (Note)
wan2.6-r2v-flash `Recommended`	Video with audio `audio=true`	720P: $0.043006/second 1080P: $0.071676/second	No free quota
wan2.6-r2v-flash `Recommended`	Video without audio `audio=false`	720P: $0.021503/second 1080P: $0.035838/second	No free quota
wan2.6-r2v	Video with audio	720P: $0.086012/second 1080P: $0.143353/second	No free quota

General video editing

Wan general video editing models support multimodal inputs, including text, images, and video, and perform both video generation and general editing tasks. API reference | Try it online

International

Model

Unit price

Free quota (Note)

wan2.1-vace-plus

$0.1/second

50 seconds

Valid for 90 days after activating Model Studio

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoint and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Unit price	Free quota (Note)
wanx2.1-vace-plus	$0.100347/second	No free quota

General video editing models support the following features:

Feature	Input reference image	Input prompt	Output video
Multi-image reference	Reference image 1 (for entity) Reference image 2 (for background)	In the video, a girl gracefully walks out from the depths of an ancient, misty forest. Her steps are light, and the camera captures her every nimble movement. When the girl stops and looks around at the lush woods, she breaks into a smile of surprise and joy. This moment is captured in the interplay of light and shadow, recording the wonderful encounter between the girl and nature.	Output video
Video restyling		The video shows a black steampunk-style car driven by a gentleman, adorned with gears and copper pipes. The background is a steam-powered candy factory with retro elements, creating a vintage and playful scene.
Local editing	Input video Input mask image (The white area indicates the editing region)	The video shows a Parisian-style French cafe where a lion in a suit is elegantly sipping coffee. It holds a coffee cup in one hand, drinking with a look of contentment. The cafe is tastefully decorated, with soft tones and warm lighting illuminating the area where the lion is.	The content in the editing region is modified based on the prompt
Video extension	Input initial video segment (1 second)	A dog wearing sunglasses skateboards on a street, 3D cartoon.	Output extended video (5 seconds)
Video outpainting		An elegant lady is passionately playing the violin, with a full symphony orchestra behind her.

Wan digital human

You can generate natural-speaking, singing, or performing videos from a single portrait image and audio file. To use this model, call the following models in order. wan2.2-s2v image detection | wan2.2-s2v video generation

Note

Model	Description	Unit price

wan2.2-s2v-detect	Checks whether the input image meets requirements, such as clarity, single-person framing, and front-facing orientation.	$0.000574 per image
wan2.2-s2v	Generates a dynamic video of the person using a validated image and an audio clip.	480P: $0.071677 per second 720P: $0.129018 per second

Example input

Output video

p1001125-转换自-jpeg

Audio Input:

Wan image-to-action

This service offers Standard and Professional modes. It uses a person image and reference video to transfer the video subject’s actions and expressions onto the image subject to generate a dynamic action video. API reference

International

Model	Service	Description	Unit price	Free quota View
wan2.2-animate-move	Standard mode `wan-std`	Generates animations faster and meets light requirements, such as basic animation demos. Offers high value for money.	$0.12 per second	50 seconds total across both modes
wan2.2-animate-move	Professional mode `wan-pro`	Delivers higher animation smoothness with natural transitions between actions and expressions. Closely resembles real-world filming.	$0.18 per second	50 seconds total across both modes

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoint and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Service	Description	Unit price	Free quota View
wan2.2-animate-move	Standard mode `wan-std`	Provides faster generation. Suitable for light needs, such as basic animation demos, and offers high value.	$0.06 per second	No free quota
wan2.2-animate-move	Professional mode `wan-pro`	Achieves higher animation smoothness with natural transitions between actions and expressions, closely mimicking real-world filming.	$0.09 per second	No free quota

Portrait	Reference video	Output video (Standard mode)	Output video (Professional mode)

Wan video character swap

This service offers Standard and Professional modes. It swaps the main subject in a video with a person from an input image while preserving the original scene, lighting, and color tone. API reference

International

Model	Service	Description	Unit price	Free quota View
wan2.2-animate-mix	Standard mode `wan-std`	Generates animations faster and meets light workloads, such as basic animation demos. Offers high value for money.	$0.18 per second	50 seconds total across both services
wan2.2-animate-mix	Professional mode `wan-pro`	Delivers higher animation smoothness with natural transitions between actions and expressions. Produces results closer to real-world filming.	$0.26 per second	50 seconds total across both services

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoint and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Service	Description	Unit price	Free quota View
wan2.2-animate-mix	Standard mode `wan-std`	Faster generation. Suitable for light needs such as basic animation demos. Cost-effective.	$0.09 per second	No free quota
wan2.2-animate-mix	Professional mode `wan-pro`	Enhanced animation smoothness. Provides natural transitions between actions and expressions. Delivers results that closely resemble real-world filming.	$0.13 per second	No free quota

Person image	Reference video	Output video (Standard mode)	Output video (Professional mode)

AnimateAnyone

This service generates animated videos from a person image and motion templates. To use this service directly, call the following three models in order. AnimateAnyone image detection API details | AnimateAnyone motion template generation | AnimateAnyone video generation API details

Note

Model	Description	Unit price
animate-anyone-detect-gen2	Checks if the input image meets requirements.	$0.000574/image
animate-anyone-template-gen2	Fetches character actions from a motion video and generates an action template.	$0.011469/second
animate-anyone-gen2	Generates a character motion video from a character image and an action template.	$0.011469/second

Input image	Action video	Output with image background	Output with video background

Note

The preceding examples were generated by an app that integrates AnimateAnyone.
AnimateAnyone outputs only video frames, not audio.

EMO

This service generates dynamic portrait videos from a portrait image and human voice audio file. To use this service, call the following models in order. EMO image detection | EMO video generation

Note

Model	Description	Unit price
emo-detect-v1	Checks if the input image meets requirements. It requires no deployment and can be called directly.	$0.000574 per image
emo-v1	Generates a dynamic portrait video. It requires no deployment and can be called directly.	1:1 aspect ratio video: $0.011469 per second 3:4 aspect ratio video: $0.022937 per second

Input: A portrait image and a human voice audio file

Output: A dynamic portrait video

Portrait image:

上春山

Human voice audio: See the video on the right.

Portrait video:

Use the action style intensity setting: active ("style_level": "active").

LivePortrait

This service generates dynamic portrait videos from a portrait image and human voice audio file quickly and efficiently. Compared with EMO, LivePortrait is faster and less expensive but produces lower visual quality. To use this service, call the following two models in order. LivePortrait image detection | LivePortrait video generation

Note

Model	Description	Unit price
liveportrait-detect	Checks whether the input image meets requirements	$0.000574 per image
liveportrait	Generates a dynamic portrait video	$0.002868 per second

Input: Portrait image and voice audio file

Output: Dynamic portrait video

Portrait image:

Emoji男孩

Voice audio: See the video on the right.

Portrait video:

Emoji

This service generates animated face videos from a face image and preset facial motion templates. Use cases include emoji creation and video asset generation. To use this service, call the following models in order. Emoji image detection | Emoji video generation

Note

Model	Description	Unit price
emoji-detect-v1	Checks if the input image meets requirements.	$0.000574 per image
emoji-v1	Generates a matching emoji video from a portrait image and a specified emoji template.	$0.011469 per second

Input: portrait image	Output: dynamic portrait video
	"Happy" emoji template sequence ("input.driven_id": "mengwa_kaixin")

VideoRetalk

This service generates new videos where the speaker’s lip movements match the input audio from a source video and human voice audio file. To use this service, call the following model. API reference

Note

Model	Description	Unit price
videoretalk	Generates a video by synchronizing the speaker's lip movements with the input audio	$0.011469 per second

Video style transform

This service generates videos in different styles based on user-provided text or restyles an input video. API reference

Note

Model	Description	Unit price

video-style-transform	Converts input video into Japanese manga, American comic, or other artistic styles.	720P	$0.071677 per second
		540P	$0.028671 per second

Input video	Output video (Japanese manga)

Speech synthesis (text-to-speech)

Qwen speech synthesis

Supports mixed-language text input and streaming audio output. Usage | API reference

International

In the international deployment mode, the endpoints and data storage are located in the Singapore region. Model inference compute resources are dynamically scheduled worldwide (excluding Chinese Mainland).

Qwen3-TTS-Instruct-Flash

Model

Version

Unit price

Max input characters

Free quota (Note)

qwen3-tts-instruct-flash

Currently, qwen3-tts-instruct-flash-2026-01-26.

Stable

$0.115/10,000 characters

600

10,000 characters

Valid for 90 days after activating Model Studio

qwen3-tts-instruct-flash-2026-01-26

Snapshot

Supported languages: Chinese (Mandarin), English, Spanish, Russian, Italian, French, Korean, Japanese, German, Portuguese
Character calculation rules: Billing is based on the number of input characters. The rules are as follows:
- One Chinese character (including simplified/traditional Chinese, Japanese Kanji, and Korean Hanja) = 2 characters
- Other characters, such as an English letter, a punctuation mark, or a space = 1 character

Qwen3-TTS-VD

Model

Version

Unit price

Max input characters

Free quota (Note)

qwen3-tts-vd-2026-01-26

Snapshot

$0.115 per 10,000 characters

600

10,000 characters

Valid for 90 days after activating Model Studio

Supported languages: Chinese (Mandarin), English, Spanish, Russian, Italian, French, Korean, Japanese, German, Portuguese
Character calculation rules: Billing is based on the number of input characters. The rules are as follows:
- One Chinese character (including simplified/traditional Chinese, Japanese Kanji, and Korean Hanja) = 2 characters
- Other characters, such as an English letter, a punctuation mark, or a space = 1 character

Qwen3-TTS-VC

Model

Version

Unit price

Max input characters

Free quota (Note)

qwen3-tts-vc-2026-01-22

Snapshot

$0.115/10,000 characters

600

10,000 characters

Valid for 90 days after activating Model Studio.

Supported languages: Chinese (Mandarin), English, Spanish, Russian, Italian, French, Korean, Japanese, German, Portuguese
Character calculation rules: Billing is based on the number of input characters. The rules are as follows:
- One Chinese character (including simplified/traditional Chinese, Japanese Kanji, and Korean Hanja) = 2 characters
- Other characters, such as an English letter, a punctuation mark, or a space = 1 character

Qwen3-TTS-Flash

Model	Version	Unit price	Max input characters	Free quota (Note)
qwen3-tts-flash Currently, qwen3-tts-flash-2025-11-27.	Stable	$0.10 per 10,000 characters	600	10,000 characters Valid for 90 days after activating Model Studio
qwen3-tts-flash-2025-11-27	Snapshot
qwen3-tts-flash-2025-09-18	Snapshot			If you activate Alibaba Cloud Model Studio before 00:00 on November 13, 2025: 2,000 characters If you activate Alibaba Cloud Model Studio after 00:00 on November 13, 2025: 10,000 characters Valid for 90 days after activating Model Studio.

Supported languages: Chinese (Mandarin, Beijing, Shanghai, Sichuan, Nanjing, Shaanxi, Minnan, Tianjin, Cantonese), English, Spanish, Russian, Italian, French, Korean, Japanese, German, Portuguese
Character calculation rules: Billing is based on the number of input characters. The rules are as follows:
- One Chinese character (including simplified/traditional Chinese, Japanese Kanji, and Korean Hanja) = 2 characters
- Other characters, such as an English letter, a punctuation mark, or a space = 1 character

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoints and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Qwen3-TTS-Instruct-Flash

Model

Version

Unit price

Max input characters

Free quota (Note)

qwen3-tts-instruct-flash

Currently, qwen3-tts-instruct-flash-2026-01-26.

Stable

$0.115/10,000 characters

600

No free quota is available.

qwen3-tts-instruct-flash-2026-01-26

Snapshot

Supported languages: Chinese (Mandarin), English, Spanish, Russian, Italian, French, Korean, Japanese, German, Portuguese
Character calculation rules: Billing is based on the number of input characters. The rules are as follows:
- One Chinese character (including simplified/traditional Chinese, Japanese Kanji, and Korean Hanja) = 2 characters
- Other characters, such as an English letter, a punctuation mark, or a space = 1 character

Qwen3-TTS-VD

Model	Version	Unit price	Max input characters	Free quota (Note)
qwen3-tts-vd-2026-01-26	Snapshot	$0.115/10,000 characters	600	No free quota is available.

Supported languages: Chinese (Mandarin), English, Spanish, Russian, Italian, French, Korean, Japanese, German, Portuguese
Character calculation rules: Billing is based on the number of input characters. The rules are as follows:
- One Chinese character (including simplified/traditional Chinese, Japanese Kanji, and Korean Hanja) = 2 characters
- Other characters, such as an English letter, a punctuation mark, or a space = 1 character

Qwen3-TTS-VC

Model	Version	Unit price	Max input characters	Free quota (Note)
qwen3-tts-vc-2026-01-22	Snapshot	$0.115/10,000 characters	600	No free quota is available.

Supported languages: Chinese (Mandarin), English, Spanish, Russian, Italian, French, Korean, Japanese, German, Portuguese
Character calculation rules: Billing is based on the number of input characters. The rules are as follows:
- One Chinese character (including simplified/traditional Chinese, Japanese Kanji, and Korean Hanja) = 2 characters
- Other characters, such as an English letter, a punctuation mark, or a space = 1 character

Qwen3-TTS-Flash

Model	Version	Unit price	Max input characters	Free quota (Note)
qwen3-tts-flash Currently, qwen3-tts-flash-2025-11-27.	Stable	$0.114682 per 10,000 characters	600	No free quota is available.
qwen3-tts-flash-2025-11-27	Snapshot
qwen3-tts-flash-2025-09-18	Snapshot

Supported languages: Chinese (Mandarin, Beijing, Shanghai, Sichuan, Nanjing, Shaanxi, Minnan, Tianjin, Cantonese), English, Spanish, Russian, Italian, French, Korean, Japanese, German, Portuguese
Character calculation rules: Billing is based on the number of input characters. The rules are as follows:
- One Chinese character (including simplified/traditional Chinese, Japanese Kanji, and Korean Hanja) = 2 characters
- Other characters, such as an English letter, a punctuation mark, or a space = 1 character

Qwen-TTS

Model	Version	Context window	Max input	Max output	Input cost	Output cost	Free quota (Note)
		(tokens)			(Per 1,000 tokens)
qwen-tts Provides the same capabilities as qwen-tts-2025-04-10.	Stable	8,192	512	7,680	$0.230	$1.434	No free quota is available.
qwen-tts-latest Provides the same capabilities as the latest snapshot.	Latest
qwen-tts-2025-05-22	Snapshot
qwen-tts-2025-04-10

Audio-to-token conversion rule: Each second of audio corresponds to 50 tokens. Audio shorter than 1 second is calculated as 50 tokens.

Qwen real-time speech synthesis

Supports streaming text input and streaming audio output. It can automatically adjust the speech rate based on the text content and punctuation. Usage | API reference

Qwen3-TTS-Instruct-Flash-Realtime supports Qwen real-time speech synthesis and can only use the default voice. It does not support cloned or designed voices.

Qwen3-TTS-VD-Realtime supports using voices from Voice design (Qwen) for real-time speech synthesis, but does not support the default voice.

Qwen3-TTS-VC-Realtime supports using voices from Voice cloning (Qwen) for real-time speech synthesis, but does not support the default voice.

Qwen3-TTS-Flash-Realtime and Qwen-TTS-Realtime can only use the default voice. They do not support cloned or designed voices.

International

Qwen3-TTS-Instruct-Flash-Realtime

Model

Version

Unit price

Free quota (Note)

qwen3-tts-instruct-flash-realtime

Currently, qwen3-tts-instruct-flash-realtime-2026-01-22.

Stable

$0.143/10,000 characters

10,000 characters

Valid for 90 days after activating Model Studio.

qwen3-tts-instruct-flash-realtime-2026-01-22

Snapshot

Supported languages: Chinese (Mandarin), English, Spanish, Russian, Italian, French, Korean, Japanese, German, Portuguese
Character calculation rules: Billing is based on the number of input characters. The rules are as follows:
- One Chinese character (including simplified/traditional Chinese, Japanese Kanji, and Korean Hanja) = 2 characters
- Other characters, such as an English letter, a punctuation mark, or a space = 1 character

Qwen3-TTS-VD-Realtime

Model

Version

Unit price

Free quota (Note)

qwen3-tts-vd-realtime-2026-01-15

Snapshot

$0.143353 per 10,000 characters

10,000 characters

Valid for 90 days after activating Model Studio

qwen3-tts-vd-realtime-2025-12-16

Snapshot

Supported languages: Chinese (Mandarin), English, Spanish, Russian, Italian, French, Korean, Japanese, German, Portuguese
Character calculation rules: Billing is based on the number of input characters. The rules are as follows:
- One Chinese character (including simplified/traditional Chinese, Japanese Kanji, and Korean Hanja) = 2 characters
- Other characters, such as an English letter, a punctuation mark, or a space = 1 character

Qwen3-TTS-VC-Realtime

Model

Version

Unit price

Free quota(Note)

qwen3-tts-vc-realtime-2026-01-15

Snapshot

$0.13/10,000 characters

10,000 characters

Valid for 90 days after activating Model Studio.

qwen3-tts-vc-realtime-2025-11-27

Snapshot

Supported languages: Chinese (Mandarin), English, Spanish, Russian, Italian, French, Korean, Japanese, German, Portuguese
Character calculation rules: Billing is based on the number of input characters. The rules are as follows:
- One Chinese character (including simplified/traditional Chinese, Japanese Kanji, and Korean Hanja) = 2 characters
- Other characters, such as an English letter, a punctuation mark, or a space = 1 character

Qwen3-TTS-Flash-Realtime

Model	Version	Unit price	Free quota (Note)
qwen3-tts-flash-realtime Currently, qwen3-tts-flash-realtime-2025-11-27.	Stable	$0.13 per 10,000 characters	10,000 characters Valid for 90 days after activating Model Studio
qwen3-tts-flash-realtime-2025-11-27	Snapshot
qwen3-tts-flash-realtime-2025-09-18	Snapshot		If you activate Alibaba Cloud Model Studio before 00:00 on November 13, 2025: 2,000 characters If you activate Alibaba Cloud Model Studio after 00:00 on November 13, 2025: 10,000 characters Valid for 90 days after activating Model Studio

Supported languages: Chinese (Mandarin, Beijing, Shanghai, Sichuan, Nanjing, Shaanxi, Minnan, Tianjin, Cantonese), English, Spanish, Russian, Italian, French, Korean, Japanese, German, Portuguese
Character calculation rules: Billing is based on the number of input characters. The rules are as follows:
- One Chinese character (including simplified/traditional Chinese, Japanese Kanji, and Korean Hanja) = 2 characters
- Other characters, such as an English letter, a punctuation mark, or a space = 1 character

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoints and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Qwen3-TTS-Instruct-Flash-Realtime

Model

Version

Unit price

Free quota (Note)

qwen3-tts-instruct-flash-realtime

Current capabilities match qwen3-tts-instruct-flash-realtime-2026-01-22.

Stable

$0.143 per 10,000 characters

No free quota

qwen3-tts-instruct-flash-realtime-2026-01-22

Snapshot

Supported languages: Chinese (Mandarin), English, Spanish, Russian, Italian, French, Korean, Japanese, German, Portuguese
Character calculation rules: Billing is based on the number of input characters. The rules are as follows:
- One Chinese character (including simplified/traditional Chinese, Japanese Kanji, and Korean Hanja) = 2 characters
- Other characters, such as an English letter, a punctuation mark, or a space = 1 character

Qwen3-TTS-VD-Realtime

Model	Version	Unit price	Free quota (Note)
qwen3-tts-vd-realtime-2026-01-15	Snapshot	$0.143353 per 10,000 characters	No free quota
qwen3-tts-vd-realtime-2025-12-16	Snapshot	$0.143353 per 10,000 characters	No free quota

Supported languages: Chinese (Mandarin), English, Spanish, Russian, Italian, French, Korean, Japanese, German, Portuguese
Character calculation rules: Billing is based on the number of input characters. The rules are as follows:
- One Chinese character (including simplified/traditional Chinese, Japanese Kanji, and Korean Hanja) = 2 characters
- Other characters, such as an English letter, a punctuation mark, or a space = 1 character

Qwen3-TTS-VC-Realtime

Model	Version	Unit price	Free quota (Note)
qwen3-tts-vc-realtime-2026-01-15	Snapshot	$0.143353 per 10,000 characters	No free quota is available.
qwen3-tts-vc-realtime-2025-11-27	Snapshot	$0.143353 per 10,000 characters	No free quota is available.

Supported languages: Chinese (Mandarin), English, Spanish, Russian, Italian, French, Korean, Japanese, German, Portuguese
Character calculation rules: Billing is based on the number of input characters. The rules are as follows:
- One Chinese character (including simplified/traditional Chinese, Japanese Kanji, and Korean Hanja) = 2 characters
- Other characters, such as an English letter, a punctuation mark, or a space = 1 character

Qwen3-TTS-Flash-Realtime

Model	Version	Unit price	Free quota (Note)
qwen3-tts-flash-realtime Currently, qwen3-tts-flash-realtime-2025-11-27.	Stable	$0.143353 per 10,000 characters	No free quota is available.
qwen3-tts-flash-realtime-2025-11-27	Snapshot
qwen3-tts-flash-realtime-2025-09-18	Snapshot

Supported languages: Chinese (Mandarin, Beijing, Shanghai, Sichuan, Nanjing, Shaanxi, Minnan, Tianjin, Cantonese), English, Spanish, Russian, Italian, French, Korean, Japanese, German, Portuguese
Character calculation rules: Billing is based on the number of input characters. The rules are as follows:
- One Chinese character (including simplified/traditional Chinese, Japanese Kanji, and Korean Hanja) = 2 characters
- Other characters, such as an English letter, a punctuation mark, or a space = 1 character

Qwen-TTS-Realtime

Model	Version	Context window	Max input	Max output	Input cost	Output cost	Supported languages	Free quota (Note)
		(tokens)			(Per 1,000 tokens)
qwen-tts-realtime Currently, qwen-tts-realtime-2025-07-15.	Stable	8,192	512	7,680	$0.345	$1.721	Chinese, English	No free quota is available.
qwen-tts-realtime-latest Currently, qwen-tts-realtime-2025-07-15.	Latest						Chinese, English
qwen-tts-realtime-2025-07-15	Snapshot						Chinese, English

Audio-to-token conversion rule: Each second of audio corresponds to 50 tokens. Audio shorter than 1 second is calculated as 50 tokens.

Qwen voice cloning

Voice cloning uses a large model for feature extraction, allowing you to clone voices without training. Provide 10 to 20 seconds of audio to generate a highly similar and natural-sounding custom voice. Usage | API reference

International

Model

Unit price

Free quota (Note)

qwen-voice-enrollment

$0.01 per voice

1,000 voices

Valid for 90 days after activating Model Studio.

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoints and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Unit price	Free quota (Note)
qwen-voice-enrollment	$0.01 per sound	No free quota is available.

Qwen voice design

Voice design generates custom voices from text descriptions. It supports multi-language and multi-dimensional voice feature definitions, making it suitable for applications such as ad dubbing, character creation, and audio content production. Usage | API reference

International

Model

Unit price

Free quota (Note)

qwen-voice-design

$0.2 per voice

10 voices

Valid for 90 days after activating Model Studio.

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoints and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Unit price	Free quota (Note)
qwen-voice-design	$0.20 per voice	No free quota is available.

CosyVoice speech synthesis

CosyVoice is a next-generation generative speech synthesis large language model (LLM) from Alibaba Cloud. It deeply integrates text understanding and speech generation based on a large-scale pre-trained language model and supports real-time streaming text-to-speech synthesis. Usage | API reference

International

Model

Unit price

Free quota (Note)

cosyvoice-v3-plus

$0.26/10,000 characters

10,000 characters

Valid for 90 days after activating Model Studio.

cosyvoice-v3-flash

$0.13/10,000 characters

Character calculation rules: Chinese characters (including simplified/traditional Chinese, Japanese Kanji, and Korean Hanja) are counted as 2 characters. All other characters (such as letters, numbers, and Japanese/Korean syllabaries) are counted as 1 character. SSML tag content is not billed.

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoints and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Unit price	Free quota (Note)
cosyvoice-v3-plus	$0.286706/10,000 characters	No free quota
cosyvoice-v3-flash	$0.14335/10,000 characters
cosyvoice-v2	$0.286706/10,000 characters

Speech recognition (speech-to-text) and translation (speech-to-translation)

Qwen3-LiveTranslate-Flash

Qwen3-LiveTranslate-Flash is an audio and video translation model based on the Qwen3-Omni architecture. It supports translation between 18 languages, including Chinese, English, Russian, and French. The model can use visual context to improve translation accuracy and outputs both text and speech. Usage | API reference

International

Model	Version	Context window	Max input	Max output	Free quota (Note)
		(tokens)
qwen3-livetranslate-flash Currently, qwen3-livetranslate-flash-2025-12-01.	Stable	53,248	49,152	4,096	1 million tokens each Valid for 90 days after activating Model Studio
qwen3-livetranslate-flash-2025-12-01	Snapshot

The billing rules for input and output are as follows:

Input

Unit price (per 1M tokens)

Audio

$1.577

Video

The audio portion is billed separately.

$0.631

Output	Unit price (per 1M tokens)
Audio	$6.308
Text	$1.577

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoints and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Version	Context window	Max input	Max output	Free quota (Note)
		(tokens)
qwen3-livetranslate-flash Currently, qwen3-livetranslate-flash-2025-12-01.	Stable	53,248	49,152	4,096	No free quota is available.
qwen3-livetranslate-flash-2025-12-01	Snapshot

The billing rules for input and output are as follows:

Input

Unit price (per 1M tokens)

Audio

$1.434

Video

The audio portion is billed separately.

$0.573

Output	Unit price (per 1M tokens)
Audio	$5.734
Text	$1.434

Qwen3-LiveTranslate-Flash-Realtime

Qwen3-LiveTranslate-Flash-Realtime is a multilingual, real-time audio and video translation model. It can recognize 18 languages and translate them into audio in 10 languages in real time.

Core features:

Multi-language support: Supports 18 languages, such as Chinese, English, French, German, Russian, Japanese, and Korean, and 6 Chinese dialects, including Mandarin, Cantonese, and Sichuanese.
Visual enhancement: Uses visual content to improve translation accuracy. The model analyzes lip movements, actions, and on-screen text to improve translation in noisy environments or for words with multiple meanings.
Low latency: Achieves simultaneous interpretation latency as low as 3 seconds.
High-quality simultaneous interpretation: Addresses cross-language word order issues using semantic unit prediction technology. The real-time translation quality is comparable to offline translation results.
Natural voice: Generates natural-sounding, human-like speech. The model adapts its tone and emotion based on the source speech content.

Usage | API reference

International

Model	Version	Context window	Max input	Max output	Free quota (Note)
		(tokens)
qwen3-livetranslate-flash-realtime Currently, qwen3-livetranslate-flash-realtime-2025-09-22.	Stable	53,248	49,152	4,096	1 million tokens Valid for 90 days after activating Model Studio.
qwen3-livetranslate-flash-realtime-2025-09-22	Snapshot

After the free quota is used up, the billing rules for input and output are as follows:

Input	Unit price (per 1M tokens)
Audio	$10
Image	$1.3

Output	Unit price (per 1M tokens)
Text	$10
Audio	$38

Token calculation rules:

Audio: Each second of audio input or output consumes 12.5 tokens.
Image: Each 28×28 pixel input consumes 0.5 tokens.

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoints and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Version	Context window	Max input	Max output	Free quota (Note)
		(tokens)
qwen3-livetranslate-flash-realtime Currently, qwen3-livetranslate-flash-realtime-2025-09-22.	Stable	53,248	49,152	4,096	No free quota is available.
qwen3-livetranslate-flash-realtime-2025-09-22	Snapshot

The billing rules for input and output are as follows:

Input	Unit price (per 1M tokens)
Audio	$9.175
Image	$1.147

Output	Unit price (per 1M tokens)
Text	$9.175
Audio	$34.405

Token calculation rules:

Audio: Each second of audio input or output consumes 12.5 tokens.
Image: Each 28×28 pixel input consumes 0.5 tokens.

Qwen audio file recognition

Based on the Qwen multimodal foundation model, this model supports features such as multi-language recognition, singing recognition, and noise rejection. Usage | API reference

International

Qwen3-ASR-Flash-Filetrans

Model

Version

Unit price

Free quota (Note)

qwen3-asr-flash-filetrans

Currently, qwen3-asr-flash-filetrans-2025-11-17.

Stable

$0.000035/second

36,000 seconds (10 hours)

Valid for 90 days after activating Model Studio.

qwen3-asr-flash-filetrans-2025-11-17

Snapshot

Supported languages: Chinese (Mandarin, Sichuanese, Minnan, Wu, Cantonese), English, Japanese, German, Korean, Russian, French, Portuguese, Arabic, Italian, Spanish, Hindi, Indonesian, Thai, Turkish, Ukrainian, Vietnamese, Czech, Danish, Filipino, Finnish, Icelandic, Malay, Norwegian, Polish, Swedish
Supported sample rates: Any

Qwen3-ASR-Flash

Model

Version

Unit price

Free quota (Note)

qwen3-asr-flash

Its capabilities match those of qwen3-asr-flash-2025-09-08.

Stable

$0.000035 per second

36,000 seconds (10 hours)

Valid for 90 days after activating Model Studio.

qwen3-asr-flash-2025-09-08

Snapshot

Supported languages: Chinese (Mandarin, Sichuanese, Minnan, Wu, Cantonese), English, Japanese, German, Korean, Russian, French, Portuguese, Arabic, Italian, Spanish, Hindi, Indonesian, Thai, Turkish, Ukrainian, Vietnamese, Czech, Danish, Filipino, Finnish, Icelandic, Malay, Norwegian, Polish, Swedish
Supported sample rates: Any

US

In the US deployment mode, the endpoints and data storage are located in the US (Virginia) region. Model inference compute resources are limited to the US.

Model

Version

Unit price

Free quota (Note)

qwen3-asr-flash-us

Currently, qwen3-asr-flash-2025-09-08-us.

Stable

$0.000035/second

No free quota is available.

qwen3-asr-flash-2025-09-08-us

Snapshot

Supported languages: Chinese (Mandarin, Sichuanese, Minnan, Wu, Cantonese), English, Japanese, German, Korean, Russian, French, Portuguese, Arabic, Italian, Spanish, Hindi, Indonesian, Thai, Turkish, Ukrainian, Vietnamese, Czech, Danish, Filipino, Finnish, Icelandic, Malay, Norwegian, Polish, Swedish
Supported sample rates: Any

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoints and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Qwen3-ASR-Flash-Filetrans

Model

Version

Unit price

Free quota (Note)

qwen3-asr-flash-filetrans

It offers the same capabilities as qwen3-asr-flash-filetrans-2025-11-17.

Stable

$0.000032/second

No free quota is available.

qwen3-asr-flash-filetrans-2025-11-17

Snapshot

Supported languages: Chinese (Mandarin, Sichuanese, Minnan, Wu, Cantonese), English, Japanese, German, Korean, Russian, French, Portuguese, Arabic, Italian, Spanish, Hindi, Indonesian, Thai, Turkish, Ukrainian, Vietnamese, Czech, Danish, Filipino, Finnish, Icelandic, Malay, Norwegian, Polish, Swedish
Supported sample rates: Any

Qwen3-ASR-Flash

Model

Version

Unit price

Free quota (Note)

qwen3-asr-flash

Currently, qwen3-asr-flash-2025-09-08.

Stable

$0.000032/second

No free quota is available.

qwen3-asr-flash-2025-09-08

Snapshot

Supported languages: Chinese (Mandarin, Sichuanese, Minnan, Wu, Cantonese), English, Japanese, German, Korean, Russian, French, Portuguese, Arabic, Italian, Spanish, Hindi, Indonesian, Thai, Turkish, Ukrainian, Vietnamese, Czech, Danish, Filipino, Finnish, Icelandic, Malay, Norwegian, Polish, Swedish
Supported sample rates: Any

Qwen real-time speech recognition

Qwen Real-Time Speech Recognition is a Large Language Model (LLM) with automatic language detection. It supports 11 languages and delivers accurate transcription even in complex audio environments. How to use | API reference

International

In international deployment mode, endpoints and data storage are located in the Singapore region. Model inference compute resources are dynamically scheduled across global regions, excluding Chinese Mainland.

Model	Version	Unit price	Free quota (Note)
qwen3-asr-flash-realtime Currently, qwen3-asr-flash-realtime-2025-10-27	Stable	$0.00009/second	36,000 seconds (10 hours) Valid for 90 days after activating Model Studio.
qwen3-asr-flash-realtime-2026-02-10	Snapshot
qwen3-asr-flash-realtime-2025-10-27	Snapshot

Languages supported: Chinese (Mandarin, Sichuanese, Minnan, Wu, Cantonese), English, Japanese, German, Korean, Russian, French, Portuguese, Arabic, Italian, Spanish, Hindi, Indonesian, Thai, Türkçe, Ukrainian, Vietnamese, Czech, Danish, Filipino, Finnish, Icelandic, Malay, Norwegian, Polish, Swedish
Sample rates supported: 8 kHz, 16 kHz

Chinese Mainland

In Chinese Mainland deployment mode, endpoints and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland only.

Model	Version	Unit price	Free quota (Note)
qwen3-asr-flash-realtime Currently, qwen3-asr-flash-realtime-2025-10-27	Stable	$0.000047/second	No free quota
qwen3-asr-flash-realtime-2026-02-10	Snapshot
qwen3-asr-flash-realtime-2025-10-27	Snapshot

Languages supported: Chinese (Mandarin, Sichuanese, Minnan, Wu, Cantonese), English, Japanese, German, Korean, Russian, French, Portuguese, Arabic, Italian, Spanish, Hindi, Indonesian, Thai, Türkçe, Ukrainian, Vietnamese, Czech, Danish, Filipino, Finnish, Icelandic, Malay, Norwegian, Polish, Swedish
Sample rates supported: 8 kHz, 16 kHz

Paraformer speech recognition

Paraformer speech recognition offers two versions: recorded file recognition and real-time speech recognition.

Recorded file recognition

Usage | API reference

Note

Model	Unit price	Free quota (Note)
paraformer-v2	$0.000012/second	No free quota
paraformer-8k-v2	$0.000012/second	No free quota

Languages supported:
- paraformer-v2: Chinese (Mandarin, Cantonese, Wu, Minnan, Northeastern, Gansu, Guizhou, Henan, Hubei, Hunan, Ningxia, Shanxi, Shaanxi, Shandong, Sichuan, Tianjin, Jiangxi, Yunnan, Shanghai), English, Japanese, Korean, German, French, Russian
- paraformer-8k-v2: Mandarin Chinese
Sample rates supported:
- paraformer-v2: Any
- paraformer-8k-v2: 8 kHz
Audio formats supported: AAC, AMR, AVI, FLAC, FLV, M4A, MKV, MOV, MP3, MP4, MPEG, OGG, OPUS, WAV, WEBM, WMA, WMV

Real-time speech recognition

Usage | API reference

Note

Model	Unit price	Free quota (Note)
paraformer-realtime-v2	$0.000035/second	No free quota
paraformer-realtime-8k-v2	$0.000035/second	No free quota

Languages supported:
- paraformer-realtime-v2: Chinese (Mandarin, Cantonese, Wu, Minnan, Northeastern, Gansu, Guizhou, Henan, Hubei, Hunan, Ningxia, Shanxi, Shaanxi, Shandong, Sichuan, Tianjin, Jiangxi, Yunnan, Shanghai), English, Japanese, Korean, German, French, Russian
- paraformer-realtime-8k-v2: Mandarin Chinese
Sample rates supported:
- paraformer-realtime-v2: Any
- paraformer-realtime-8k-v2: 8 kHz
Audio formats supported: PCM, WAV, MP3, OPUS, SPEEX, AAC, AMR

Fun-ASR speech recognition

Fun-ASR speech recognition offers two versions: audio file recognition and real-time speech recognition.

Audio file recognition

Usage | API reference

International

In the international deployment mode, endpoints and data storage are in the Singapore region. Model inference compute resources are dynamically scheduled globally, excluding Chinese Mainland.

Model	Version	Unit price	Free quota (Note)
fun-asr Currently, fun-asr-2025-11-07	Stable	$0.000035/second	36,000 seconds (10 hours) Valid for 90 days
fun-asr-2025-11-07 Improved far-field VAD over fun-asr-2025-08-25 for higher accuracy	Snapshot
fun-asr-2025-08-25	Snapshot
fun-asr-mtl Currently, fun-asr-mtl-2025-08-25	Stable
fun-asr-mtl-2025-08-25	Snapshot

Languages supported:
- fun-asr and fun-asr-2025-11-07: Mandarin, Cantonese, Wu, Minnan, Hakka, Gan, Xiang, and Jin. Also supports Mandarin accents from Zhongyuan, Southwest, Jilu, Jianghuai, Lanyin, Jiaoliao, Northeast, Beijing, and Hong Kong–Taiwan regions—including Henan, Shaanxi, Hubei, Sichuan, Chongqing, Yunnan, Guizhou, Guangdong, Guangxi, Hebei, Tianjin, Shandong, Anhui, Nanjing, Jiangsu, Hangzhou, Gansu, and Ningxia. Also supports English and Japanese.
- fun-asr-2025-08-25: Mandarin and English.
- fun-asr-mtl and fun-asr-mtl-2025-08-25: Mandarin, Cantonese, English, Japanese, Korean, Vietnamese, Indonesian, Thai, Malay, Filipino, Arabic, Hindi, Bulgarian, Croatian, Czech, Danish, Dutch, Estonian, Finnish, Greek, Hungarian, Irish, Latvian, Lithuanian, Maltese, Polish, Portuguese, Romanian, Slovak, Slovenian, and Swedish.
Sample rates supported: Any
Audio formats supported: aac, amr, avi, flac, flv, m4a, mkv, mov, mp3, mp4, mpeg, ogg, opus, wav, webm, wma, wmv

Chinese Mainland

In the Chinese Mainland deployment mode, endpoints and data storage are in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Version	Unit price	Free quota (Note)
fun-asr Currently, fun-asr-2025-11-07	Stable	$0.000032 / second	No free quota
fun-asr-2025-11-07 Improved far-field VAD over fun-asr-2025-08-25 for higher accuracy	Snapshot
fun-asr-2025-08-25	Snapshot
fun-asr-mtl Currently, fun-asr-mtl-2025-08-25	Stable
fun-asr-mtl-2025-08-25	Snapshot

Languages supported:
- fun-asr and fun-asr-2025-11-07: Mandarin, Cantonese, Wu, Minnan, Hakka, Gan, Xiang, and Jin. Also supports Mandarin accents from Zhongyuan, Southwest, Jilu, Jianghuai, Lanyin, Jiaoliao, Northeast, Beijing, and Hong Kong–Taiwan regions—including Henan, Shaanxi, Hubei, Sichuan, Chongqing, Yunnan, Guizhou, Guangdong, Guangxi, Hebei, Tianjin, Shandong, Anhui, Nanjing, Jiangsu, Hangzhou, Gansu, and Ningxia. Also supports English and Japanese.
- fun-asr-2025-08-25: Mandarin and English.
- fun-asr-mtl and fun-asr-mtl-2025-08-25: Mandarin, Cantonese, English, Japanese, Korean, Vietnamese, Indonesian, Thai, Malay, Filipino, Arabic, Hindi, Bulgarian, Croatian, Czech, Danish, Dutch, Estonian, Finnish, Greek, Hungarian, Irish, Latvian, Lithuanian, Maltese, Polish, Portuguese, Romanian, Slovak, Slovenian, and Swedish.
Sample rates supported: Any
Audio formats supported: aac, amr, avi, flac, flv, m4a, mkv, mov, mp3, mp4, mpeg, ogg, opus, wav, webm, wma, wmv

Real-time speech recognition

Usage | API reference

International

In the international deployment mode, endpoints and data storage are in the Singapore region. Model inference compute resources are dynamically scheduled globally, excluding Chinese Mainland.

Model

Version

Unit price

Free quota (Note)

fun-asr-realtime

Currently, fun-asr-realtime-2025-11-07

Stable

$0.00009/second

36,000 seconds (10 hours)

Valid for 90 days

fun-asr-realtime-2025-11-07

Snapshot

Languages supported: Mandarin, Cantonese, Wu, Minnan, Hakka, Gan, Xiang, and Jin. Also supports Mandarin accents from Zhongyuan, Southwest, Jilu, Jianghuai, Lanyin, Jiaoliao, Northeast, Beijing, and Hong Kong–Taiwan regions—including Henan, Shaanxi, Hubei, Sichuan, Chongqing, Yunnan, Guizhou, Guangdong, Guangxi, Hebei, Tianjin, Shandong, Anhui, Nanjing, Jiangsu, Hangzhou, Gansu, and Ningxia. Also supports English and Japanese.
Sample rates supported: 16 kHz
Audio formats supported: pcm, wav, mp3, opus, speex, aac, amr

Chinese Mainland

In the Chinese Mainland deployment mode, endpoints and data storage are in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Version	Unit price	Free quota (Note)
fun-asr-realtime Currently, fun-asr-realtime-2025-11-07	Stable	$0.000047/second	No free quota
fun-asr-realtime-2025-11-07 Improved far-field VAD compared to fun-asr-realtime-2025-09-15 for higher accuracy.	Snapshot
fun-asr-realtime-2025-09-15	Snapshot
fun-asr-flash-8k-realtime Currently, fun-asr-flash-8k-realtime-2026-01-28	Stable	$0.000032/second
fun-asr-flash-8k-realtime-2026-01-28	Snapshot	$0.000032/second

Languages supported:
- fun-asr-realtime and fun-asr-realtime-2025-11-07: Mandarin, Cantonese, Wu, Minnan, Hakka, Gan, Xiang, and Jin. Also supports Mandarin accents from Zhongyuan, Southwest, Jilu, Jianghuai, Lanyin, Jiaoliao, Northeast, Beijing, and Hong Kong–Taiwan regions—including Henan, Shaanxi, Hubei, Sichuan, Chongqing, Yunnan, Guizhou, Guangdong, Guangxi, Hebei, Tianjin, Shandong, Anhui, Nanjing, Jiangsu, Hangzhou, Gansu, and Ningxia. Also supports English and Japanese.
- fun-asr-realtime-2025-09-15: Mandarin, Cantonese, English, Japanese, Korean, Vietnamese, Indonesian, and Thai.
Sample rates supported: 16 kHz
Sample rates supported:
- fun-asr-flash-8k-realtime and fun-asr-flash-8k-realtime-2026-01-28: 8 kHz
- All other models: 16 kHz
Audio formats supported: pcm, wav, mp3, opus, speex, aac, amr

Text embedding

Text embedding models convert text into numeric vectors that represent its meaning. They support search, clustering, recommendation, and classification tasks. Billing is based on the input token count. API reference

International

Model

Embedding dimensions

Batch size

Max tokens per batch

Languages supported

Unit price

(per 1M input tokens)

Free quota

Note

text-embedding-v4

Part of the Qwen3-Embedding series

2,048, 1,536, 1,024 (default), 768, 512, 256, 128, 64

8,192

Chinese, English, Spanish, French, Portuguese, Indonesian, Japanese, Korean, German, Russian, and over 100 other major languages, including multiple programming languages

$0.07

1 million tokens

Valid for 90 days after activating Model Studio

text-embedding-v3

1,024 (default), 768, or 512

8,192

Chinese, English, Spanish, French, Portuguese, Indonesian, Japanese, Korean, German, Russian, and over 50 languages

500,000 tokens

Valid for 90 days after activating Model Studio

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoint and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model

Embedding dimensions

Batch size

Max tokens per batch

Languages supported

Unit price

(per 1M input tokens)

Free quota

Note

text-embedding-v4

Part of the Qwen3-Embedding series

Batch calls at half price

2,048, 1,536, 1,024 (default), 768, 512, 256, 128, or 64

8,192

Chinese, English, Spanish, French, Portuguese, Indonesian, Japanese, Korean, German, Russian, and over 100 other major languages, plus multiple programming languages

$0.072

No free quota

Note

Batch size is the maximum number of texts that can be processed in one API call. For example, text-embedding-v4 has a batch size of 10, which means you can send up to 10 texts per request, and each text cannot be longer than 8,192 tokens. This limit applies to:

String array input: The array can contain at most 10 elements.
File input: The text file can contain at most 10 lines.

Multimodal embedding

Multimodal embedding models convert text, images, or video into floating-point vectors. They support video classification, image classification, and cross-modal retrieval. API reference

International

Model

Data type

Embedding dimensions

Unit price (per 1M input tokens)

Free quota (Note)

tongyi-embedding-vision-plus

float(32)

1,152

$0.09

1 million tokens

Valid for 90 days after activating Model Studio

tongyi-embedding-vision-flash

float(32)

768

Images or video: $0.03

Text: $0.09

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoint and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model

Data type

Embedding dimensions

Unit price (per 1M input tokens)

qwen3-vl-embedding

float32

2560, 2048, 1536, 1024, 768, 512, or 256

Images or video: $0.258

Text: $0.10

multimodal-embedding-v1

1,024

Free trial

Text rerank

This service is used for semantic search. Given a query and a list of candidate texts (Documents), it ranks the candidates by relevance to the query, from highest to lowest. API reference

Note

Only available in Chinese Mainland (Beijing) region.

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoint and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model

Max documents

Max tokens per line

Max input tokens

Languages supported

Unit price (per 1M input tokens)

gte-rerank-v2

500

4,000

30,000

Chinese, English, Japanese, Korean, Thai, Spanish, French, Portuguese, German, Indonesian, Arabic, and over 50 languages

$0.115

Max tokens per line: Each Query or Document may contain up to 4,000 tokens. Inputs that exceed this length are truncated.
Max documents: Up to 500 Documents per request.
Max input tokens: The total number of tokens across all Queries and Documents must not exceed 30,000 per request.

Domain specific

Intent understanding

Intent understanding models rapidly and accurately parse user intent in under 100 milliseconds and select appropriate tools to resolve user requests. API reference | Usage

Note

Model	Context window	Max input	Max output	Input cost	Output cost
Model	(tokens)			(per 1M tokens)
tongyi-intent-detect-v3	8,192	8,192	1,024	$0.058	$0.144

Role playing

Qwen role assumption models are designed for anthropomorphic dialog scenarios, such as virtual socializing, game NPCs, IP replication, and hardware, toys, or in-vehicle systems. Compared with other Qwen models, they improve persona fidelity, topic progression, and empathetic listening. Usage

International

Model	Context window	Max input	Max output	Input cost	Output cost
Model	(tokens)			(per 1M tokens)
qwen-plus-character	32,768	30,000	4,000	$0.5	$1.4
qwen-plus-character-ja	8,192	7,680	512	$0.5	$1.4

Chinese Mainland

In the Chinese Mainland deployment mode, the endpoint and data storage are located in the Beijing region. Model inference compute resources are limited to Chinese Mainland.

Model	Context window	Max input	Max output	Input cost	Output cost
Model	(tokens)			(per 1M tokens)
qwen-plus-character	32,768	32,000	4,096	$0.115	$0.287

Retired models

Retired on January 30, 2026

Category	Model	Context window	Max input	Max output	Input cost (per 1M tokens)	Output cost (per 1M tokens)	Alternative
		(tokens)
Qwen-Plus	qwen-plus-2024-11-27	131,072	129,024	8,192	$0.115	$0.287	qwen-plus-2025-12-01
	qwen-plus-2024-11-25
	qwen-plus-2024-09-19
	qwen-plus-2024-08-06		128,000		$0.574	$1.721
Qwen-Turbo	qwen-turbo-2024-09-19	131,072	129,023	8,192	$0.044	$0.087	qwen-flash-2025-07-28
Qwen-VL	qwen-vl-max-2024-10-30	32,768	30,720 Max 16,384 per image	2,048	$2.868	$2.868	qwen3-vl-plus-2025-12-19
	qwen-vl-max-2024-08-09
	qwen-vl-plus-2024-08-09				$0.216	$0.646	qwen3-vl-flash-2025-10-15

Retired on August 20, 2025

Qwen2

The Qwen2 open-source model from Alibaba Cloud. Usage | API reference | Try it online

Model	Context window	Max input	Max output	Input cost	Output cost	Alternative
	(tokens)			(per 1M tokens)
qwen2-72b-instruct	131,072	128,000	6,144	Limited-time free		Qwen3, DeepSeek, Kimi, and others
qwen2-57b-a14b-instruct	65,536	63,488
qwen2-7b-instruct	131,072	128,000

Qwen1.5

The Qwen1.5 open-source model from Alibaba Cloud. Usage | API reference | Try it online

Model	Context window	Max input	Max output	Input cost	Output cost	Alternative
	(tokens)			(per 1M tokens)
qwen1.5-110b-chat	8,000	6,000	2,000	Limited-time free		Qwen3, DeepSeek, Kimi, and others
qwen1.5-72b-chat
qwen1.5-32b-chat
qwen1.5-14b-chat
qwen1.5-7b-chat