Model lifecycle and updates

Type

Time

Deployment scope

Model

Description

Reference-to-video

2026-07-01

International

wan2.7-r2v-2026-06-12

A snapshot version of the Wan 2.7 reference-to-video model. It supports subject referencing and voice customization, and can generate a scripted video directly from a single, multi-panel storyboard image. Wan2.7 - reference-to-video

Reasoning model

2026-06-26

International

kimi-k2.7-code

Kimi K2.7 Code model is now available in the Singapore region. An agent-centric coding model optimized for long-range software engineering tasks. Supports thinking mode only. Kimi - Alibaba Cloud

Image generation

2026-06-25

International

qwen-image-2.0-pro-2026-06-22

The latest snapshot of the Qwen-Image-2.0 series, unifying image generation and editing. Compared with the April 22 snapshot, this model features enhanced text rendering with support for up to 1k token instructions, more refined photorealistic quality and scene detail, and stronger semantic adherence.

Text-to-video

2026-06-22

International

happyhorse-1.1-t2v

HappyHorse 1.1 text-to-video model. Supports audio video generation with 3-15 seconds duration at 720P/1080P resolution. HappyHorse - text-to-video

Image-to-video

2026-06-22

International

happyhorse-1.1-i2v

HappyHorse 1.1 image-to-video model. Supports audio video generation with 3-15 seconds duration at 720P/1080P resolution. HappyHorse image-to-video (first frame)

Reference-to-video

2026-06-22

International

happyhorse-1.1-r2v

HappyHorse 1.1 reference-to-video model. Supports multiple reference images as input to generate audio videos with 3-15 seconds duration at 720P/1080P resolution. HappyHorse - reference-to-video

Reasoning model

2026-06-10

International

qwen3.7-max-2026-06-08

The Max model, the largest and most capable in the Qwen3.7 series, has added visual-modal understanding compared to the May 20 snapshot, enabling it to perceive real-world scenes and supporting multimodal interactive hybrid agent capabilities.

Reasoning model

2026-06-01

International

qwen3.7-plus, qwen3.7-plus-2026-05-26

The Qwen3.7-Plus series comprehensively upgrades vision-language capabilities on top of strong text abilities, while maintaining full agent capabilities in coding, tool use, and productivity workflows. Its core feature is multimodal interactive hybrid agent capability, enabling perception of real-world scenes, screen reading and GUI operation, code generation from visual references, and end-to-end mobile app navigation.

Reasoning model

2026-05-27

International

glm-5.1

The Zhipu GLM-5.1 model is designed for long-horizon tasks and supports a 200K context window with a maximum output of 128K tokens. With strong logical reasoning, long-text comprehension, and code generation capabilities, it delivers excellent results across multiple benchmarks and is well suited for intelligent interaction, enterprise applications, and development assistance. GLM - Alibaba Cloud

Reasoning model

2026-05-25

International

qwen3.7-max-preview, qwen3.7-max-2026-05-17

Models in the Qwen Max series. Text-only input, thinking mode only.

Reasoning model

2026-05-21

International

qwen3.7-max, qwen3.7-max-2026-05-20

Next-generation flagship model in the Qwen Max series. Text-only input, thinking mode enabled by default, supports explicit cache and Function Calling. This model delivers exceptional performance across programming, office productivity, and long-horizon autonomous task execution.

Audio-video translation

2026-05-19

International

qwen3.5-livetranslate-flash-realtime, qwen3.5-livetranslate-flash-realtime-2026-05-19

An audio/video real-time translation model that recognizes 60 source languages and translates audio into 29 languages.Real-time audio and video translation - Qwen

Text-to-video

2026-04-27

International

happyhorse-1.0-t2v

HappyHorse text-to-video model. Supports audio video generation with 3-15 seconds duration at 720P/1080P resolution. HappyHorse - text-to-video

Image-to-video

2026-04-27

International

happyhorse-1.0-i2v

HappyHorse image-to-video model. Supports audio video generation with 3-15 seconds duration at 720P/1080P resolution. HappyHorse image-to-video (first frame)

Reference-to-video

2026-04-27

International

happyhorse-1.0-r2v

HappyHorse reference-to-video model. Supports multiple reference images as input to generate audio videos with 3-15 seconds duration at 720P/1080P resolution. HappyHorse - reference-to-video

Video editing

2026-04-27

International

happyhorse-1.0-video-edit

HappyHorse video editing model. Supports video editing and processing. HappyHorse - video editing

Text-to-video

2026-07-01

International

wan2.7-t2v-2026-06-12

A snapshot version of the Wan 2.7 text-to-video model. The model capabilities are the same as wan2.7-t2v. Wan2.7 - text-to-video

Text-to-video

2026-04-26

International

wan2.7-t2v-2026-04-25

A snapshot version of the Wan 2.7 text-to-video model. The model capabilities are the same as wan2.7-t2v. Wan2.7 - text-to-video

Image-to-video

2026-04-26

International

wan2.7-i2v-2026-04-25

A snapshot version of the Wan 2.7 image-to-video model. The model capabilities are the same as wan2.7-i2v. Wan2.7 - image-to-video

Image generation

2026-04-23

International

qwen-image-2.0-pro-2026-04-22

A model in the Qwen-Image-2.0 series that unifies image generation and editing. Compared with the March 3 snapshot, this model delivers a significant leap in visual quality — especially texture detail, lighting, and materials. It supports multilingual in-image text generation and delivers more balanced artistic style performance.

Reasoning model

2026-04-23

International

qwen3.5-plus-2026-04-20

A new snapshot of the Qwen3.5 native vision-language Plus model. Compared with the February 15 snapshot, agentic coding capabilities are significantly improved and inference speed is notably faster. Knowledge, reasoning, and long-context capabilities remain at a high level, making it well suited for agentic coding, production workflows, and high-throughput scenarios.

Reasoning model

2026-04-23

International

qwen3.6-27b

A 27B native vision-language dense model in the Qwen3.6 series. Compared with Qwen3.5-27B, agentic coding capabilities are significantly improved, and STEM and reasoning abilities are further enhanced. On the vision side, spatial intelligence and object localization & detection are notably stronger, while video understanding, document OCR, and visual Agent capabilities are steadily improved.

Reasoning model

2026-04-20

International

qwen3.6-max-preview

The largest proprietary model in the Qwen3.6 series, with further improved coding capabilities and more efficient agent execution. Supports text-only input, thinking mode (enabled by default), explicit caching, and function calling. Overview

Image and video inputs are not supported.

Reasoning model

2026-04-16

International

qwen3.6-flash, qwen3.6-flash-2026-04-16, qwen3.6-35b-a3b

A native vision-language Flash model in the Qwen3.6 series, delivering significant overall performance improvements over Qwen3.5-Flash. Agentic coding capabilities are substantially enhanced (far surpassing the predecessor on multiple code agent benchmarks), along with stronger math and code reasoning. On the vision side, spatial intelligence is notably improved, with object localization and detection being particularly outstanding. Overview

Speech recognition

2026-04-16

International

fun-asr, fun-asr-2025-11-07

Fun-ASR real-time speech recognition capability upgrades:

• Dialect support: Covers the seven major Chinese dialects (Mandarin, Wu, Xiang, Gan, Hakka, Min, Yue) and 20+ regional accents

• Ancient poetry optimization: Improves ancient poetry recognition accuracy for cultural education and audiobook scenarios

• Text optimization: Enhances punctuation prediction and text normalization. Numbers, dates, and amounts automatically convert to standard formats

• Multi-language expansion: Supports 30 languages, including Chinese, English, Japanese, Korean, French, German, and Spanish

For more information, see Audio file recognition - Fun-ASR/Paraformer.

Video editing

2026-04-03

International

wan2.7-videoedit

The Wan 2.7 video editing model supports instruction-based editing and video migration. It can modify parts of a video or the entire frame, and supports multi-image reference replacement and the replication of actions, effects, and camera movements. Wan2.7 - video editing

Image-to-video

2026-04-03

International

wan2.7-i2v

The Wan 2.7 image-to-video model supports multimodal input, including text, images, audio, and video. It performs three main tasks: generating video from a first frame, generating video from first and last frames, and video continuation. Wan2.7 - image-to-video

Text-to-video

2026-04-03

International

wan2.7-t2v

The Wan 2.7 text-to-video model adds new resolution tiers and custom aspect ratio settings. This allows for flexible adaptation to different creative scenarios and platform publishing needs. Wan2.7 - text-to-video

Reference-to-video

2026-04-03

International

wan2.7-r2v

The Wan 2.7 reference-to-video model supports subject referencing and voice customization. It can generate a scripted video directly from a single, multi-panel storyboard image. Wan2.7 - reference-to-video

Reasoning model

2026-04-02

International

qwen3.6-plus, qwen3.6-plus-2026-04-02

Qwen3.6-Plus features significant upgrades to its code development capabilities, such as Agentic Coding and frontend programming, and provides a significantly enhanced Vibe Coding experience. Its inference capabilities in generalization scenarios are further enhanced. For multimodal capabilities, its performance in universal object recognition, OCR, and object localization is significantly improved. This version also fixes known issues that were identified after Qwen3.5-Plus was published. The usage method is the same as that of qwen3.5-plus. Overview

Image generation and editing

2026-04-01

International

wan2.7-image-pro, wan2.7-image

The Wan 2.7 image generation and editing model supports text-to-image, text-to-image-set, image-to-image-set, image editing, multi-image reference generation, and interactive editing, with improved performance in text rendering, subject consistency, and complex instruction following. The Pro series supports 4K output; the accelerated version balances quality and response speed. Wan - image generation and editing 2.7

Omni-modal

2026-03-30

International

qwen3.5-omni-plus, qwen3.5-omni-plus-2026-03-15, qwen3.5-omni-flash, qwen3.5-omni-flash-2026-03-15

The latest omni-modal model. It supports long video analysis, meeting minutes, subtitle output, security audits, and audio-video interaction. It also supports deep understanding and description generation for audio and video content, recognizes 113 languages, and generates audio in 36 languages. It can process up to 3 hours of audio and 1 hour of video input, and supports web search and instructions to control the volume, speed, and emotion of the output audio. Non-real-time (Qwen-Omni)

Omni-modal

2026-03-30

International

qwen3.5-omni-plus-realtime, qwen3.5-omni-plus-realtime-2026-03-15, qwen3.5-omni-flash-realtime, qwen3.5-omni-flash-realtime-2026-03-15

The latest real-time multimodal model from Qwen. Compared to the previous generation Qwen3-Omni-Flash-Realtime, it features significantly improved intelligence on par with Qwen3.5-Plus. It natively supports web search (WebSearch), voice interruption, and voice control. It recognizes 113 languages and dialects, and generates speech in 36 languages and dialects. Qwen-Omni-Realtime

Reasoning model

2026-03-20

International

deepseek-v3.2

DeepSeek-V3.2 is the official model that introduces DeepSeek Sparse Attention, a sparse attention mechanism. It is the first model from DeepSeek that integrates thinking with tool calling. The model supports tool calling in both thinking and non-thinking modes.

DeepSeek

Image generation and editing

2026-03-03

International

qwen-image-2.0, qwen-image-2.0-2026-03-03, qwen-image-2.0-pro, qwen-image-2.0-pro-2026-03-03

The Qwen Image 2.0 series supports both image generation and editing. The Pro series offers stronger text rendering, realistic quality, and semantic instruction following. The accelerated version balances quality and response speed. Qwen - text-to-image, Qwen-Image Edit

Speech recognition

2026-03-03

International

qwen3-asr-flash-2026-02-10

Qwen audio file recognition adds a new snapshot model, which performs better than qwen3-asr-flash-2025-09-08. Non-real-time speech recognition

Reasoning model

2026-02-24

International

qwen3.5-flash, qwen3.5-flash-2026-02-23, qwen3.5-122b-a10b, qwen3.5-27b, qwen3.5-35b-a3b

The latest Qwen3.5-Flash model and open-source model from Alibaba, supporting text, image, and video input with fast response speed. Its overall performance is close to qwen3.5-plus. Supports built-in Text generation overview. Overview

Code model

2026-02-20

International

qwen3-coder-next

A new-generation open source code generation model in the Qwen3 series. It supports multi-turn tool interactions, and has an enhanced understanding of repository-level code and better adaptability to AI programming tools. Code capabilities (Qwen-Coder)

Reasoning model

2026-02-16

International

qwen3.5-plus, qwen3.5-plus-2026-02-15, qwen3.5-397b-a17b

The latest Qwen3.5-Plus and open source models from Alibaba. They support text, image, and video inputs and deliver outstanding performance across multiple tasks, such as language understanding, logical reasoning, code generation, agent tasks, image understanding, video understanding, and graphical user interface (GUI) interaction. They also support built-in tool calling. Overview

Speech recognition

2026-02-13

International

qwen3-asr-flash-realtime-2026-02-10

A new snapshot model for Qwen real-time speech recognition is added, which performs better than qwen3-asr-flash-realtime-2025-10-27. Real-time speech recognition

Speech synthesis

2026-02-10

International

cosyvoice-v3-plus, cosyvoice-v3-flash

CosyVoice speech synthesis adds v3 models that support speech synthesis with system voices and cloned voices. Real-time speech synthesis - CosyVoice

Speech synthesis

2026-02-10

International

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

Qwen speech synthesis introduces an Instruct model, which lets you precisely control the synthesis effect using natural language instructions. Non-real-time speech synthesis

Speech synthesis

2026-02-10

International

qwen3-tts-vd-2026-01-26

Qwen speech synthesis introduces a voice design model, which lets you create custom voices using text descriptions. Non-real-time speech synthesis

Speech synthesis

2026-02-10

International

qwen3-tts-vc-2026-01-22

Qwen speech synthesis introduces a voice cloning model, which lets you quickly clone voices from real audio samples. Non-real-time speech synthesis

Speech synthesis

2026-02-04

International

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

Qwen real-time speech synthesis adds an Instruct model, which lets you precisely control the synthesis effect using natural language instructions. Real-time speech synthesis

Reference-to-video

2026-02-02

International

wan2.6-r2v-flash

Generates multi-shot videos with automatic dubbing, using a character's appearance from a reference video or image. Wan - Reference-to-Video

Visual understanding

2026-01-28

International

qwen3-vl-flash-2026-01-22

This is a new snapshot of the Qwen-VL model. It merges thinking and non-thinking modes to improve overall performance compared to the October 15, 2025 snapshot. The model achieves higher inference accuracy in scenarios such as general visual recognition, security, store patrols, inspections, and solving problems from photos. Image and video understanding

Speech recognition

2026-01-28

International

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

The Qwen3-ASR-Flash-Filetrans series models now support word-level timestamps. By setting the new enable_words parameter, you can get millisecond-level word and character alignment information and experience more semantically accurate, fine-grained sentence segmentation. Non-real-time speech recognition

Reasoning model

2026-01-27

International

qwen3-max-2026-01-23

Compared to the snapshot version from September 23, 2025, this model effectively merges thinking and non-thinking modes, significantly enhancing its overall performance. In thinking mode, the model is integrated with three tools: web search, web information extraction, and code interpreter. Using external tools during its thought process, it achieves higher accuracy on complex problems. OpenAI-compatible - Responses

Image-to-video

2026-01-18

International

wan2.6-i2v-flash

Generates videos with or without audio. The two video types are billed independently based on their respective billing rules. It also has multi-shot narrative and audio processing capabilities. Wan - Image-to-video - Based on first frame

Image editing

2026-01-18

International

qwen-image-edit-max, qwen-image-edit-max-2026-01-16

The Qwen Image Edit Max series provides more stable and versatile editing capabilities, enhances industrial design and geometric inference, and improves character consistency and editing precision. Image editing - Qwen

Speech synthesis

2026-01-16

International

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

Qwen real-time speech synthesis adds a new snapshot model with further optimized quality. The synthesized voice is more natural and closer to the original compared to qwen3-tts-vc-realtime-2025-11-27. Real-time speech synthesis - Qwen, Real-time speech synthesis

Text-to-image

2026-01-12

International

qwen-image-plus-2026-01-09

This new snapshot model for Qwen text-to-image is a distilled and accelerated version of qwen-image-max that rapidly generates high-quality images. Qwen - text-to-image

Image-to-video

2026-01-08

International

wan2.2-kf2v-flash

Based on a prompt and the input start and end frames, the model can generate a smooth, dynamic video. First-and-last-frame-to-video

Speech recognition

2026-01-06

International

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

Qwen3-ASR-Flash supports OpenAI compatible mode. Non-real-time speech recognition

Text-to-image

2025-12-31

International

qwen-image-max, qwen-image-max-2025-12-30

The Max series of the Qwen image generation model enhances image realism and naturalness compared to the Plus series, effectively reduces AI-generated artifacts, and excels in areas such as character textures, texture details, and text rendering. Qwen - text-to-image

Image editing

2025-12-23

International

qwen-image-edit-plus-2025-12-15

The latest snapshot model for Qwen image editing enhances character consistency, industrial design capabilities, and geometric inference compared to the previous version. It also optimizes the alignment of spatial layout, texture, and style between the edited and original images, resulting in more precise edits. Image editing - Qwen

Text-to-image

2025-12-22

International

z-image-turbo

A lightweight text-to-image model that quickly generates high-quality images. It supports bilingual rendering in Chinese and English, complex semantic understanding, multiple styles and themes, and flexibly adapts to various resolutions and aspect ratios. Z-Image

Visual understanding

2025-12-19

International

qwen3-vl-plus-2025-12-19

The new Qwen-VL snapshot model features improved instruction-following capabilities and lower latency. Image and video understanding

Speech recognition

2025-12-19

International

qwen3-asr-flash-filetrans, qwen3-asr-flash-filetrans-2025-11-17, qwen3-asr-flash, qwen3-asr-flash-2025-09-08

Speech recognition now supports 9 more languages, including Czech and Danish. Non-real-time speech recognition

Speech recognition

2025-12-17

International

qwen3-asr-flash-realtime, qwen3-asr-flash-realtime-2025-10-27

Speech recognition is now supported in nine additional languages, including Czech and Danish. Real-time speech recognition

Speech recognition

2025-12-17

International

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

Supports audio with any sample rate and sound channel. Non-real-time speech recognition

Speech recognition

2025-12-17

International

fun-asr-mtl, fun-asr-mtl-2025-08-25

Supports speech recognition for 31 languages, including Chinese, English, Japanese, and Korean. Ideal for scenarios in Southeast Asia. Audio file recognition - Fun-ASR/Paraformer

Voice design

2025-12-16

International

qwen-voice-design

Qwen has released a voice design model for generating customized voices from text descriptions. Use this model with the qwen3-tts-vd-realtime-2025-12-16 model to generate speech in 10 languages. Qwen voice design

Speech synthesis

2025-12-16

International

qwen3-tts-vd-realtime-2025-12-16(Snapshot)

Qwen real-time speech synthesis releases a new snapshot model that supports using Qwen voice design generated voice tones for low-latency, highly stable real-time synthesis; supports multilingual output; automatically adjusts intonation based on text and optimizes synthesis performance for complex texts.Real-time speech synthesis

Text-to-image

2025-12-16

International

wan2.6-t2i

A new sync interface is added. It supports selecting custom dimensions within the constraints of total pixel area and aspect ratio. Wan - Text-to-image V2

Image generation and editing

2025-12-16

International

wan2.6-image

Supports image editing and mixed image-text output. Wan - Image Generation and Editing 2.6

Image-to-video - based on first frame

2025-12-16

International

wan2.6-i2v

Adds the multi-shot narrative feature and audio support, allowing you to use automatic dubbing or upload a custom audio file. Wan - Image-to-video - based on first frame

Reference-to-video

2025-12-16

International

wan2.6-r2v

Generates a multi-shot video based on a character's appearance and voice from a reference video. It also supports automatic dubbing. Wan - Reference-to-Video

Text-to-video

2025-12-16

International

wan2.6-t2v

Adds the multi-shot narrative feature, which supports audio using automatic dubbing or custom audio files. Text-to-Video

Speech recognition

2025-12-12

International

fun-asr, fun-asr-2025-11-07

Feature updates for Fun-ASR audio file recognition:

• Supports singing recognition and full song transcription. For details, see Audio file recognition - Fun-ASR/Paraformer.

Omni-modal

2025-12-04

International

qwen3-omni-flash-2025-12-01

The latest Qwen Omni snapshot model increases the number of supported timbres to 49 and features a significant upgrade to its instruction-following capabilities, enabling it to efficiently understand text, images, audio, and video. Non-real-time (Qwen-Omni)

Real-time multimodal

2025-12-04

International

qwen3-omni-flash-realtime-2025-12-01

The latest snapshot model for the Qwen Omni real-time version offers low-latency multimodal interaction. The number of supported timbres is increased to 49, and the model's instruction-following ability and interactive experience are significantly upgraded. Qwen-Omni-Realtime

Speech translation

2025-12-04

International

qwen3-livetranslate-flash, qwen3-livetranslate-flash-2025-12-01

Qwen3-LiveTranslate-Flash is an audio and video translation model that translates between 18 languages, such as Chinese, English, Russian, and French. It uses visual context to improve translation accuracy and provides both text and speech output. Audio and video file translation - Qwen

Multilingual translation

2025-12-02

International

qwen-mt-lite

The Qwen basic text translation model supports translation between 31 languages. Compared to qwen-mt-flash, this model provides faster responses at a lower cost, making it suitable for latency-sensitive scenarios. Machine translation (Qwen-MT)

Voice cloning

2025-11-27

International

qwen-voice-enrollment

Qwen released a voice cloning model. It can quickly generate a highly similar voice from an audio clip of 5 seconds or more. When combined with the qwen3-tts-vc-realtime-2025-11-27 model, it can clone a person's voice with high fidelity and output it in real time across 11 languages. Voice cloning (Qwen)

Speech synthesis

2025-11-27

International

qwen3-tts-vc-realtime-2025-11-27(Snapshot)

Qwen real-time speech synthesis releases a new snapshot model that supports using Qwen voice cloning generated voice tones for low-latency, highly stable real-time synthesis; supports multilingual output; automatically adjusts intonation based on text and optimizes synthesis performance for complex texts.Real-time speech synthesis

Speech synthesis

2025-11-27

International

qwen3-tts-flash-realtime-2025-11-27(Snapshot)

Qwen real-time speech synthesis releases a new snapshot model with low latency and high stability; richer voice tones with multilingual output support for the same voice; automatically adjusts intonation based on text and improves synthesis performance for complex texts.Real-time speech synthesis

Speech synthesis

2025-11-27

International

qwen3-tts-flash-2025-11-27(Snapshot)

Qwen speech synthesis releases a new snapshot model with richer voice tones; the same voice supports multilingual output; adaptively adjusts intonation based on text and optimizes synthesis capability for complex texts.Non-real-time speech synthesis

Text extraction

2025-11-21

International

qwen-vl-ocr-2025-11-20(Snapshot)

Qwen text extraction model. This snapshot version is based on the Qwen3-VL architecture, significantly improving document parsing and text localization capabilities.Text extraction (Qwen-OCR)

Speech recognition

2025-11-20

International

qwen3-asr-flash-filetrans, qwen3-asr-flash-filetrans-2025-11-17(Snapshot)

Qwen audio file recognition releases a new model specifically designed for asynchronous transcription of audio files, supporting recordings up to 12 hours.Non-real-time speech recognition

Speech recognition

2025-11-19

International

fun-asr-2025-11-07(Snapshot)

Fun-ASR audio file recognition releases a new snapshot model, optimizing far-field Voice Activity Detection (VAD) to improve recognition accuracy and stability, and adding support for multiple Chinese dialects and Japanese on top of the existing Chinese and English recognition.Audio file recognition - Fun-ASR/Paraformer

Multilingual translation

2025-11-11

International

qwen-mt-flash

Compared to qwen-mt-turbo, this model supports streaming incremental output and offers improved overall performance. Machine translation (Qwen-MT)

Image-to-video

2025-11-10

International

wan2.2-animate-move

Transfers the actions and expressions of a character from a template video to a single static image to generate a video of the character in motion. Wan - Image-to-action

Image-to-video

2025-11-10

International

wan2.2-animate-mix

This model replaces the main character in a reference video with a character from an image. It preserves the original video's scene, lighting, and tone for seamless character replacement. Wan - Video Character Swap

Reasoning model

2025-11-03

International

qwen3-max-preview

The thinking mode of the qwen3-max-preview model provides significant improvements in overall reasoning capabilities, especially delivering superior performance in agent programming, common-sense reasoning, math, science, and general tasks. Deep thinking

Image editing

2025-10-31

International

qwen-image-edit-plus, qwen-image-edit-plus-2025-10-30

Based on qwen-image-edit, this model offers optimized inference performance and system stability. It greatly reduces the response time for image generation and editing, and supports returning multiple images in a single request. Image editing - Qwen

Real-time speech recognition

2025-10-27

International

qwen3-asr-flash-realtime, qwen3-asr-flash-realtime-2025-10-27

The Qwen real-time speech recognition model features automatic language detection. It can recognize 11 language types and transcribe audio accurately in complex environments. Real-time speech recognition

Visual understanding

2025-10-21

International

qwen3-vl-32b-thinking, qwen3-vl-32b-instruct

A 32B dense model from the Qwen3-VL series. Its overall performance is second only to the Qwen3-VL-235B model. It excels in document recognition and understanding, spatial intelligence, object recognition, 2D visual detection, and spatial reasoning. It is suitable for complex perception tasks in general scenarios. Image and video understanding

Visual understanding

2025-10-16

International

qwen3-vl-flash, qwen3-vl-flash-2025-10-15

A small-sized visual understanding model from the Qwen3 series. It effectively combines thinking and non-thinking modes. Compared to the open source Qwen3-VL-30B-A3B, it performs better and responds faster. Image and video understanding

Visual understanding

2025-10-14

International

qwen3-vl-8b-thinking, qwen3-vl-8b-instruct

An 8B dense open source model from the Qwen3-VL series, available in both thinking and non-thinking versions. It uses less GPU memory and can perform multimodal understanding and reasoning. It supports ultra-long contexts such as long videos and long documents, 2D/3D visual positioning, and comprehensive spatial intelligence and object recognition. Image and video understanding

Visual understanding

2025-10-03

International

qwen3-vl-30b-a3b-thinking, qwen3-vl-30b-a3b-instruct

Based on the new-generation, open source Qwen3-VL model, it is available in both thinking and non-thinking versions. It has a fast response speed and stronger capabilities for multimodal understanding, reasoning, and visual agent tasks. It also supports ultra-long contexts such as long videos and documents. Its spatial intelligence and object recognition capabilities are fully upgraded to handle complex real-world tasks. Image and video understanding

Visual understanding

2025-09-23

International

qwen3-vl-plus, qwen3-vl-plus-2025-09-23, qwen3-vl-235b-a22b-thinking, qwen3-vl-235b-a22b-instruct

The Qwen3 series of visual understanding models effectively combines thinking and non-thinking modes, and their visual agent capabilities are world-class. This version features comprehensive upgrades in visual encoding, spatial intelligence, and multimodal thinking. Their visual perception and recognition capabilities are significantly improved. Image and video understanding

Text-to-image

2025-09-23

International

qwen-image-plus

This model excels at rendering complex text, especially Chinese and English. It can create complex mixed-media layouts of images and text. It is more cost-effective than qwen-image. Text-to-image (Qwen-Image)

Code model

2025-09-23

International

qwen3-coder-plus-2025-09-23

Compared to the previous version (July 22 snapshot), this version has improved robustness for downstream tasks and tool calling, and enhanced code security. Code capabilities (Qwen-Coder)

Reasoning model

2025-09-11

International

qwen-plus-2025-09-11

This model is part of the Qwen3 series. Compared to qwen-plus-2025-07-28, it follows instructions better and provides more concise summaries in thinking mode. See Deep thinking. In non-thinking mode, it has enhanced Chinese language understanding and logical reasoning. See Overview.

Reasoning model

2025-09-11

International

qwen3-next-80b-a3b-thinking, qwen3-next-80b-a3b-instruct

A next-generation open-source model based on Qwen3. The thinking modelhas improved instruction following and more concise summaries compared with qwen3-235b-a22b-thinking-2507. See Deep thinking.The instruct modelhas enhanced Chinese comprehension, logical reasoning, and text generation compared with qwen3-235b-a22b-instruct-2507. See Overview.

Text generation

2025-09-05

International

qwen3-max-preview

The Qwen-Max model (preview), based on Qwen3, offers significant improvements in general capabilities compared to the Qwen 2.5 series. It has significantly enhanced abilities in Chinese and English text understanding, complex instruction following, subjective open-ended tasks, multilingual tasks, and tool calling. The model also has fewer knowledge hallucinations.

Image editing

2025-08-19

International

qwen-image-edit

The Qwen image editing model supports precise text editing in both Chinese and English, color adjustment, detail enhancement, style transfer, adding or removing objects, and changing positions and actions. It can perform complex image and text editing. Image editing - Qwen

Visual understanding

2025-08-18

International

qwen-vl-plus-2025-08-15

A visual understanding model. It offers significant improvements in object detection, localization, and multilingual processing. Image and video understanding

Text-to-image

2025-08-14

International

qwen-image

The Qwen-Image model excels at rendering complex text, especially Chinese and English, to create intricate layouts that combine images and text.Text-to-image (Qwen-Image)

Visual understanding

2025-08-13

International

qwen-vl-max-2025-08-13

A visual understanding model. It has comprehensively improved visual understanding metrics and significantly enhanced capabilities in math, reasoning, object recognition, and multilingual processing. Image and video understanding

Code model

2025-08-05

International

qwen3-coder-flash, qwen3-coder-flash-2025-07-28

The fastest and most cost-effective model in the Qwen Coder series. Code capabilities (Qwen-Coder).

Reasoning model

2025-08-05

International

qwen-flash, qwen-flash-2025-07-28

The fastest and most cost-effective model in the Qwen series, suitable for simple jobs.

Reasoning model

2025-07-30

International

qwen-plus-2025-07-28

A model from the Qwen3 series. Compared to the previous version, it increases the context length to 1,000,000. For more information about thinking mode, see Deep thinking. For more information about non-thinking mode, see Overview.

Reasoning model

2025-07-30

International

qwen3-30b-a3b-thinking-2507

qwen3-30b-a3b-instruct-2507

An upgrade of qwen3-30b-a3b. The thinking modelhas improved logical, general, knowledge, and creative capabilities. See Deep thinking.The instruct modelhas improved creative capabilities and model safety. See Overview.

Image-to-video

2025-07-28

International

wan2.2-i2v-plus

Compared to the 2.1 model, the new version significantly improves image detail and motion stability. The generation speed increases by up to 50%. First-frame video generation

Text-to-video

2025-07-28

International

wan2.2-t2v-plus

Compared to the 2.1 model, this new version has significantly improved image detail and motion stability. Generation speed is 50% faster. Text-to-video

Text-to-image

2025-07-28

International

wan2.2-t2i-flash, wan2.2-t2i-plus

This new version is a major upgrade to the 2.1 model. It is more creative, stable, and realistic. Images generate 50% faster. Text-to-image

Reasoning model

2025-07-24

International

qwen3-235b-a22b-thinking-2507, qwen3-235b-a22b-instruct-2507

An upgrade of qwen3-235b-a22b. The thinking modelhas significantly improved logical, general, knowledge, and creative capabilities, suitable for challenging reasoning scenarios. See Deep thinking.The instruct modelhas improved creative capabilities and model safety. See Overview.

Code model

2025-07-23

International

qwen3-coder, qwen3-coder-plus-2025-07-22

A code generation model based on Qwen3. It has strong Coding Agent capabilities and excels at tool calling and environment interaction. It combines excellent code capabilities with general-purpose abilities. Code capabilities (Qwen-Coder)

Visual understanding

2025-06-04

International

qwen-vl-plus-2025-05-07

A visual understanding model with significantly improved capabilities in mathematics, reasoning, and surveillance video content understanding. Image and video understanding

Text-to-image

2025-05-22

International

wan2.1-t2i-turbo, wan2.1-t2i-plus

Generates an image from a single sentence. The model generates images of any resolution and aspect ratio, up to 2 million pixels. It is available in two versions: turbo and plus. Text-to-image

Visual understanding

2025-05-16

International

qwen-vl-max-2025-04-08

A visual understanding model. It has improved math and reasoning abilities. Its response style is tailored to human preferences, and its responses are significantly more detailed and clearly formatted. Image and video understanding

Visual understanding

2025-05-16

International

qwen-vl-plus-2025-01-25

A visual understanding model belonging to the Qwen2.5-VL series. Compared to the previous version, this model expands the context to 128k and significantly enhances image and video understanding.

Video editing

2025-05-19

International

wan2.1-vace-plus

A general-purpose video editing model. The model supports multi-modal input, combining images, videos, and text prompts. It performs various tasks such as image-to-video (generating a video based on the entity or background of a reference image) and video repainting (extracting motion features from an input video to generate a video). General video editing

Reasoning model

2025-04-28

International

Qwen3 commercial models

qwen-plus-2025-04-28, qwen-turbo-2025-04-28

Qwen3Open-source models

qwen3-235b-a22b, qwen3-30b-a3b, qwen3-32b, qwen3-14b, qwen3-8b, qwen3-4b, qwen3-1.7b, qwen3-0.6b

Qwen3 models support thinking mode and non-thinking mode. You can use the enable_thinking parameter to switch between the two modes. In addition, the capabilities of Qwen3 models have been significantly enhanced:

1. Reasoning capability: In math, code, and logical reasoning benchmarks, it significantly surpasses QwQ and non-reasoning models of the same size, reaching the industry-leading level at the same scale.

2. Human preference capability: Creative writing, role-playing, multi-turn conversation, and instruction-following capabilities are all significantly improved, with general capabilities notably surpassing models of the same size.

3. Agent capability: Reaches industry-leading level in both reasoning and non-reasoning modes, capable of precisely calling external tools.

4. Multilingual capability: Supports over 100 languages and dialects, with significant improvements in multilingual translation, instruction understanding, and commonsense reasoning.

5. Response format fix: Fixed response format issues in previous versions, such as abnormal Markdown, mid-response truncation, and incorrect boxed output.

For thinking mode, seeDeep thinking. For non-thinking mode, seeOverview.

Text-to-video

2025-04-21

International

wan2.1-t2v-turbo, wan2.1-t2v-plus

• Generates a video from a single sentence.

• It accurately follows instructions, supports large and complex motion, and simulates real-world physics. The generated videos feature rich artistic styles and cinematic quality. Wan text-to-video.

Image-to-video

2025-04-21

International

wan2.1-kf2v-plus, wan2.1-i2v-turbo, wan2.1-i2v-plus,

• Generates a smooth, dynamic video from start and end frame images based on a prompt. Image-to-video: Start and end frames

• Takes an image as the first frame and generates a video based on prompts. For usage instructions, see Wan - image-to-video - first frame API reference (2.1-2.6).

Visual reasoning

2025-03-28

International

qvq-max, qvq-max-latest, qvq-max-2025-03-25

A visual reasoning model. It supports visual input and chain-of-thought output, demonstrating stronger capabilities in math, programming, visual analysis, creation, and general tasks. Visual reasoning

Omni-modal

2025-03-26

International

qwen2.5-omni-7b

A new multimodal model from Qwen for understanding and generation. It supports text, image, speech, and video input, and outputs text and audio. It provides two natural conversational voices. Non-real-time (Qwen-Omni).

Visual understanding

2025-03-24

International

qwen2.5-vl-32b-instruct 

Visual understanding model. Achieves near Qwen2.5VL-72B level in mathematical problem solving. Response style is significantly adjusted for human preferences, especially for objective questions such as math, logical reasoning, and knowledge QA. Response detail and format clarity are significantly improved.Image and video understanding

Reasoning model

2025-03-06

International

qwq-plus

The QwQ reasoning model, trained on the Qwen2.5 model, greatly improves its reasoning ability through reinforcement learning. The model's core metrics for math and code (AIME 24/25, LiveCodeBench) and some general metrics (IFEval, LiveBench, etc.) reach the level of the full-performance DeepSeek-R1. Deep thinking

Visual understanding

2025-01-27

International

qwen2.5-vl-3b-instruct

qwen2.5-vl-7b-instruct

qwen2.5-vl-72b-instruct

• Compared to the Qwen2-VL model, this model has the following improvements:

  • It has significantly improved capabilities in instruction following, mathematical calculations, code generation, and structured output (JSON output).

  • It supports unified parsing of visual content in images, such as text, charts, and layouts. The model can also accurately locate visual elements and represent them using detection frames and coordinate points.

  • It understands long video files (up to 10 minutes), provides event localization with second-level precision, and recognizes the sequence and speed of events.

• See Image and video understanding.

Text generation

2025-01-27

International

qwen-max-2025-01-25

qwen2.5-14b-instruct-1m

qwen2.5-7b-instruct-1m

• The qwen-max-2025-01-25 model (also known as Qwen2.5-Max): The best-performing model in the Qwen series. It has significant improvements in code writing and comprehension, logical reasoning, and multilingual capabilities. The response style is greatly adjusted to align with human preferences. The detail and format clarity of its responses are significantly improved, with targeted enhancements in content creation, JSON format adherence, and role assumption. See Overview of text generation models.

• The qwen2.5-14b-instruct-1m and qwen2.5-7b-instruct-1m models: Compared to the qwen2.5-14b-instruct and qwen2.5-7b-instruct models, the context length is increased to 1,000,000. See Overview of text generation models.

Text generation

2025-01-17

International

qwen-plus-2025-01-12

• Compared to the qwen-plus-2024-12-20 model, this model has enhanced overall capabilities in both Chinese and English, with significant improvements in common sense and reading comprehension. Its ability to switch naturally between different languages, dialects, and styles is significantly improved, and Chinese instruction following is significantly enhanced. See Qwen.

Multilingual translation

2024-12-25

International

qwen-mt-plus

qwen-mt-turbo

• The Qwen-MT model is a machine translation large language model optimized based on the Qwen model. It excels at translation between Chinese and English, Chinese and minor languages, and English and minor languages. The minor languages include 26 languages such as Japanese, Korean, French, Spanish, German, Portuguese (Brazil), Thai, Indonesian, Vietnamese, and Arabic. In addition to multilingual translation, the model supports features such as terminology intervention, domain prompting, and translation memory to improve translation quality in complex scenarios. See Machine translation (Qwen-MT).

Visual understanding

2024-12-18

International

qwen2-vl-72b-instruct

• Achieved state-of-the-art results on multiple visual understanding benchmarks, significantly enhancing the processing of multimodal tasks. See Image and video understanding for instructions.

Type

Time

Deployment scope

Model

Description

Reasoning model

2026-07-06

US

qwen3.7-plus-us

The Qwen3.7-Plus series comprehensively upgrades vision-language capabilities on top of strong text abilities, while maintaining full agent capabilities in coding, tool use, and productivity workflows. Its core feature is multimodal interactive hybrid agent capability, enabling perception of real-world scenes, screen reading and GUI operation, code generation from visual references, and end-to-end mobile app navigation.

Reasoning model

2026-07-03

US

qwen3.7-max-us

Next-generation flagship model in the Qwen Max series. Text-only input, thinking mode enabled by default, supports explicit cache and Function Calling. This model delivers exceptional performance across programming, office productivity, and long-horizon autonomous task execution.

Text-to-video

2026-06-26

Global

happyhorse-1.1-t2v

HappyHorse 1.1 text-to-video model. Supports audio video generation with 3-15 seconds duration at 720P/1080P resolution. HappyHorse - text-to-video

Image-to-video

2026-06-26

Global

happyhorse-1.1-i2v

HappyHorse 1.1 image-to-video model. Supports audio video generation with 3-15 seconds duration at 720P/1080P resolution. HappyHorse image-to-video (first frame)

Reference-to-video

2026-06-26

Global

happyhorse-1.1-r2v

HappyHorse 1.1 reference-to-video model. Supports multiple reference images as input to generate audio videos with 3-15 seconds duration at 720P/1080P resolution. HappyHorse - reference-to-video

Reasoning model

2026-06-10

Global

qwen3.7-max-2026-06-08

The Max model, the largest and most capable in the Qwen3.7 series, has added visual-modal understanding compared to the May 20 snapshot, enabling it to perceive real-world scenes and supporting multimodal interactive hybrid agent capabilities.

Reasoning model

2026-06-02

Global

qwen3.7-plus, qwen3.7-plus-2026-05-26

The Qwen3.7-Plus series comprehensively upgrades vision-language capabilities on top of strong text abilities, while maintaining full agent capabilities in coding, tool use, and productivity workflows. Its core feature is multimodal interactive hybrid agent capability, enabling perception of real-world scenes, screen reading and GUI operation, code generation from visual references, and end-to-end mobile app navigation.

Reasoning model

2026-05-21

Global

qwen3.7-max, qwen3.7-max-2026-05-20

Next-generation flagship model in the Qwen Max series. Text-only input, thinking mode enabled by default, supports explicit cache and Function Calling. This model delivers exceptional performance across programming, office productivity, and long-horizon autonomous task execution.

Reasoning model

2026-05-20

Global

glm-5.1

Zhipu GLM-5.1 model, designed for long-range tasks with 200K context support and up to 128K token output. With powerful logical reasoning, long-text understanding, and code generation capabilities, it achieves excellent results on multiple benchmarks, suitable for intelligent interaction, enterprise applications, and development assistance scenarios.GLM - Alibaba Cloud

Text-to-video

2026-05-06

Global

happyhorse-1.0-t2v

HappyHorse text-to-video model. Supports audio video generation with 3-15 seconds duration at 720P/1080P resolution. HappyHorse - text-to-video

Image-to-video

2026-05-06

Global

happyhorse-1.0-i2v

HappyHorse image-to-video model. Supports audio video generation with 3-15 seconds duration at 720P/1080P resolution. HappyHorse image-to-video (first frame)

Video editing

2026-05-06

Global

happyhorse-1.0-video-edit

HappyHorse video editing model. Supports video editing and processing. HappyHorse - video editing

Reference-to-video

2026-05-06

Global

happyhorse-1.0-r2v

HappyHorse reference-to-video model. Supports multiple reference images as input to generate audio videos with 3-15 seconds duration at 720P/1080P resolution. HappyHorse - reference-to-video

Text generation and visual understanding

2026-04-29

Global

kimi-k2.5

A visual understanding model from Moonshot AI that excels in general-purpose intelligent tasks such as code generation and visual understanding. It also supports image, video, and text input, along with dialogue and Agent tasks. Kimi - Alibaba Cloud

Reasoning model

2026-04-29

Global

deepseek-v4-pro

The unit price of cached_token for deepseek-v4-pro is updated to USD 0.13752131580395 per million tokens. The standard input_token price remains unchanged. See Context Cache.

Multilingual translation

2026-04-10

US

qwen-mt-lite-us

A basic-tier Qwen text translation model supporting mutual translation across 31 languages. Compared with qwen-mt-flash, it provides faster responses at lower cost, suitable for latency-sensitive scenarios. Machine translation (Qwen-MT)

Reasoning model

2026-04-02

Global

qwen3.6-plus, qwen3.6-plus-2026-04-02

Qwen3.6-Plus features significant upgrades to its code development capabilities, such as Agentic Coding and frontend programming, and provides a significantly enhanced Vibe Coding experience. Its inference capabilities in generalization scenarios are further enhanced. For multimodal capabilities, its performance in universal object recognition, OCR, and object localization is significantly improved. This version also fixes known issues that were identified after Qwen3.5-Plus was published. The usage method is the same as that of qwen3.5-plus. Overview

Visual understanding

2026-03-14

US

qwen3-vl-flash-2026-01-22-us

A new snapshot model for Qwen-VL that effectively integrates thinking mode and non-thinking mode. Compared with the snapshot version from October 15, 2025, it significantly improves overall model performance, achieving higher inference accuracy in scenarios such as general visual recognition, security, store inspection, patrol inspection, and photo-based problem solving. Image and video understanding

Reasoning model

2026-03-04

Global

qwen3.5-flash, qwen3.5-flash-2026-02-23, qwen3.5-122b-a10b, qwen3.5-27b, qwen3.5-35b-a3b

The latest Qwen3.5-Flash model and open-source model from Alibaba, supporting text, image, and video input with fast response speed. Its overall performance is close to qwen3.5-plus. Supports built-in Text generation overview. Overview

Reasoning model

2026-03-04

Global

qwen3.5-plus, qwen3.5-plus-2026-02-15, qwen3.5-397b-a17b

The latest Qwen3.5-Plus model and open-source model from Alibaba, supporting text, image, and video input. It delivers outstanding performance across language understanding, logical reasoning, code generation, agent tasks, image understanding, video understanding, GUI, and other tasks. Supports built-in Text generation overview. Overview

Image-to-video - based on first frame

2026-01-04

US

wan2.6-i2v-us

Added multi-shot narrative capability. Supports audio capabilities, including automatic dubbing or custom audio file input. Wan - image-to-video - first frame API reference (2.1-2.6)

Text-to-video

2026-01-04

US

wan2.6-t2v-us

Added multi-shot narrative capability. Supports audio capabilities, including automatic dubbing or custom audio file input. Wan2.7 - text-to-video

Speech recognition

2026-01-04

US

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

Supports audio with any sample rate and number of channels. Non-real-time speech recognition

Visual understanding

2026-01-04

US

qwen3-vl-flash-us, qwen3-vl-flash-2025-10-15-us

A small-size visual understanding model in the Qwen3 series that effectively integrates thinking mode and non-thinking mode. Compared with the open-source Qwen3-VL-30B-A3B, it delivers better results with faster response speed. Image and video understanding

Reasoning model

2026-01-04

US

qwen-plus-2025-12-01-us

This is a model from the Qwen3 series. Compared to qwen-plus-2025-07-28, it has improved instruction-following capabilities and provides more concise summary responses in thinking mode. See Deep thinking. In non-thinking mode, its Chinese understanding and logical reasoning abilities are enhanced. See Overview.

Reasoning model

2026-01-04

US

qwen-plus-us

Offers a balance of capabilities. Its inference performance, cost, and speed are between those of Qwen-Max and Qwen-Flash, making it suitable for moderately complex tasks.

Text generation

2026-01-04

US

qwen-flash-us, qwen-flash-2025-07-28-us

The fastest and most cost-effective model in the Qwen series, suitable for simple jobs.

Image generation and editing

2026-01-04

Global

wan2.6-image

Supports image editing and mixed image-text output. Wan - image generation and editing 2.6

Image-to-video - based on first frame

2026-01-04

Global

wan2.6-i2v

Adds the multi-shot narrative feature, which supports audio using automatic dubbing or custom audio files. Wan - image-to-video - first frame-based

Reference-to-video

2026-01-04

Global

wan2.6-r2v

Generates a multi-shot video based on a character's appearance and voice from a reference video. It also supports automatic dubbing. Wan2.7 - reference-to-video

Text-to-video

2026-01-04

Global

wan2.6-t2v

Adds the multi-shot narrative feature, which supports audio using automatic dubbing or custom audio files. Wan2.7 - text-to-video

Visual understanding

2026-01-04

Global

qwen3-vl-flash, qwen3-vl-flash-2025-10-15

This small-size visual understanding model from the Qwen3 series effectively integrates thinking and non-thinking modes. Compared to the open-source Qwen3-VL-30B-A3B, it delivers better performance and a faster response time. Image and video understanding

Visual understanding

2026-01-04

Global

qwen3-vl-8b-thinking, qwen3-vl-8b-instruct

An 8B dense open-source model from the Qwen3-VL series, available in both thinking and non-thinking versions. It uses less GPU memory and performs multimodal understanding and inference. It supports ultra-long contexts such as long videos and documents, 2D/3D visual positioning, and comprehensive spatial intelligence and object recognition. Image and video understanding

Visual understanding

2026-01-04

Global

qwen3-vl-32b-thinking, qwen3-vl-32b-instruct

A 32B Dense model from the Qwen3-VL series. Its overall performance is second only to the Qwen3-VL-235B model. It excels in document recognition and understanding, spatial intelligence, object recognition, visual 2D detection, and spatial reasoning. This makes it suitable for complex perception tasks in general scenarios. Image and video understanding

Visual understanding

2026-01-04

Global

qwen3-vl-plus, qwen3-vl-plus-2025-09-23, qwen3-vl-235b-a22b-thinking, qwen3-vl-235b-a22b-instruct

A visual understanding model from the Qwen3 series. It effectively combines thinking and non-thinking modes, and its visual agent capabilities are among the best in the world. This version features comprehensive upgrades in visual encoding, spatial intelligence, and multimodal thinking. It also significantly improves visual perception and recognition capabilities. Image and video understanding

Reasoning model

2026-01-04

Global

qwen3-next-80b-a3b-thinking, qwen3-next-80b-a3b-instruct

A next-generation open-source model based on Qwen3. The thinking modelhas improved instruction following and more concise summaries compared with qwen3-235b-a22b-thinking-2507. See Deep thinking.The instruct modelhas enhanced Chinese comprehension, logical reasoning, and text generation compared with qwen3-235b-a22b-instruct-2507. See Overview.

Reasoning model

2026-01-04

Global

qwen3-max, qwen3-max-2025-09-23

Compared to the qwen3-max-preview version, this model has been specifically upgraded for agent programming and tool calling. This official release achieves state-of-the-art (SOTA) performance in its domain and supports more complex agent requirements.

Reasoning model

2026-01-04

Global

qwen3-max-preview

The Qwen-Max model is a preview version based on Qwen3. Compared to the Qwen 2.5 series, its general-purpose capabilities are greatly improved, delivering significantly enhanced performance in Chinese and English text comprehension, complex instruction following, subjective open-ended tasks, multilingual processing, and tool calling. The model also produces fewer knowledge hallucinations. Qwen-Max

Code model

2026-01-04

Global

qwen3-coder-flash, qwen3-coder-flash-2025-07-28

The fastest and most cost-effective model in the Qwen Coder series. Code capabilities (Qwen-Coder).

Code model

2026-01-04

Global

qwen3-coder-plus, qwen3-coder-plus-2025-07-22, qwen3-coder-30b-a3b-instruct, qwen3-coder-480b-a35b-instruct

A code generation model based on Qwen3. It has strong Coding Agent capabilities and excels at tool calling and environment interaction. It combines excellent code capabilities with general-purpose abilities. Code capabilities (Qwen-Coder)

Reasoning model

2026-01-04

Global

qwen3-30b-a3b-thinking-2507, qwen3-30b-a3b-instruct-2507

An upgrade of qwen3-30b-a3b. The thinking modelhas improved logical, general, knowledge, and creative capabilities. See Deep thinking.The instruct modelhas improved creative capabilities and model safety. See Overview.

Reasoning model

2026-01-04

Global

qwen3-235b-a22b-thinking-2507, qwen3-235b-a22b-instruct-2507

An upgrade of qwen3-235b-a22b. The thinking modelhas significantly improved logical, general, knowledge, and creative capabilities, suitable for challenging reasoning scenarios. See Deep thinking.The instruct modelhas improved creative capabilities and model safety. See Overview.

Reasoning model

2026-01-04

Global

qwen3-30b-a3b, qwen3-32b, qwen3-14b, qwen3-8b

Qwen3 models support both thinking and non-thinking modes. You can switch between the two modes by using the enable_thinking parameter. In addition, the capabilities of Qwen3 models have been greatly enhanced:

1. 1. Reasoning capability: In evaluations of mathematics, code, and logical reasoning, it significantly outperforms QwQ and non-reasoning models of the same size, and achieves top-tier performance among industry models of a comparable scale.

2. 2. Human preference alignment: Capabilities for creative writing, role-playing, multi-turn conversation, and instruction following are greatly improved. The general capabilities significantly exceed those of models of a similar size.

3. 3. Agent capability: The agent achieves industry-leading performance in both inference and non-inference modes. It accurately invokes external tools.

4. 4. Multilingual capability: The models support over 100 languages and dialects and have significantly improved capabilities in multilingual translation, instruction understanding, and common-sense reasoning.

5. 5. Response format fixes: This version fixes response format issues from previous versions, such as abnormal Markdown, mid-sentence truncation, and incorrect boxed output.

For more information about thinking mode, see Deep thinking. For more information about non-thinking mode, see Overview.

Text extraction

2026-01-04

Global

qwen-vl-ocr-2025-11-20

This snapshot of the Qwen text extraction model is based on the Qwen3-VL architecture and significantly improves document parsing and text localization. Text extraction (Qwen-OCR)

Text extraction

2026-01-04

Global

qwen-vl-ocr

qwen-vl-ocr is a model specialized for OCR, with significantly improved text extraction from tables, exam papers, and similar images. For details, see Text extraction (Qwen-OCR).

Reasoning model

2026-01-04

Global

qwen-plus-2025-12-01, qwen-plus-2025-09-11

A model from the Qwen3 series. Compared to qwen-plus-2025-07-28, it has improved instruction-following capabilities and provides more concise summaries in thinking mode. See Deep thinking. In non-thinking mode, it has enhanced Chinese language comprehension and logical reasoning capabilities. See Overview.

Reasoning model

2026-01-04

Global

qwen-plus-2025-07-28

A model from the Qwen3 series. Compared to the previous version, it increases the context length to 1,000,000. For more information about thinking mode, see Deep thinking. For more information about non-thinking mode, see Overview.

Reasoning model

2026-01-04

Global

qwen-plus

Offers a balance of capabilities. Its inference performance, cost, and speed are between those of Qwen-Max and Qwen-Flash, making it suitable for moderately complex tasks.

Multilingual translation

2026-01-04

Global

qwen-mt-lite

A basic text translation model from Qwen. It supports translation between 31 languages. It offers a faster response and lower cost than qwen-mt-flash, making it suitable for latency-sensitive scenarios. Machine translation (Qwen-MT)

Multilingual translation

2026-01-04

Global

qwen-mt-plus, qwen-mt-flash

The Qwen-MT model is a large language model for machine translation, optimized from the Qwen model. It excels at translation between Chinese and English, between Chinese and minor languages, and between English and minor languages. It supports 26 minor languages, such as Japanese, Korean, French, Spanish, German, Portuguese (Brazil), Thai, Indonesian, Vietnamese, and Arabic. In addition to multilingual translation, it offers features such as terminology intervention, domain prompting, and translation memory to improve translation quality in complex scenarios. See Machine translation (Qwen-MT).

Text generation

2026-01-04

Global

qwen-flash, qwen-flash-2025-07-28

The fastest and most cost-effective model in the Qwen series, suitable for simple jobs.

Type

Time

Deployment scope

Model

Description

Reference-to-video

2026-07-01

Chinese mainland

wan2.7-r2v-2026-06-12

A snapshot version of the Wan 2.7 reference-to-video model. It supports subject referencing and voice customization, and can generate a scripted video directly from a single, multi-panel storyboard image. Wan2.7 - reference-to-video

Image generation

2026-06-25

Chinese mainland

qwen-image-2.0-pro-2026-06-22

The latest snapshot of the Qwen-Image-2.0 series, unifying image generation and editing. Compared with the April 22 snapshot, this model features enhanced text rendering with support for up to 1k token instructions, more refined photorealistic quality and scene detail, and stronger semantic adherence.

Text-to-video

2026-06-22

Chinese mainland

happyhorse-1.1-t2v

HappyHorse 1.1 text-to-video model. Supports audio video generation with 3-15 seconds duration at 720P/1080P resolution. HappyHorse - text-to-video

Image-to-video

2026-06-22

Chinese mainland

happyhorse-1.1-i2v

HappyHorse 1.1 image-to-video model. Supports audio video generation with 3-15 seconds duration at 720P/1080P resolution. HappyHorse image-to-video (first frame)

Reference-to-video

2026-06-22

Chinese mainland

happyhorse-1.1-r2v

HappyHorse 1.1 reference-to-video model. Supports multiple reference images as input to generate audio videos with 3-15 seconds duration at 720P/1080P resolution. HappyHorse - reference-to-video

Text extraction

2026-06-16

Chinese mainland

qwen3.5-ocr

Qwen text extraction model based on the Qwen3.5 architecture, delivering faster speed and better performance. Context length extended to 128K with multi-turn conversation support. Information extraction capability significantly improved, covering various domestic and international ID cards and certificates.Text extraction (Qwen-OCR)

Reasoning model

2026-06-10

Chinese mainland

qwen3.7-max-2026-06-08

The Max model, the largest and most capable in the Qwen3.7 series, has added visual-modal understanding compared to the May 20 snapshot, enabling it to perceive real-world scenes and supporting multimodal interactive hybrid agent capabilities.

Reasoning model

2026-06-01

Chinese mainland

qwen3.7-plus, qwen3.7-plus-2026-05-26

The Qwen3.7-Plus series comprehensively upgrades vision-language capabilities on top of strong text abilities, while maintaining full agent capabilities in coding, tool use, and productivity workflows. Its core feature is multimodal interactive hybrid agent capability, enabling perception of real-world scenes, screen reading and GUI operation, code generation from visual references, and end-to-end mobile app navigation.

Reasoning model

2026-05-21

Chinese mainland

qwen3.7-max, qwen3.7-max-2026-05-20

Next-generation flagship model in the Qwen Max series. Text-only input, thinking mode enabled by default, supports explicit cache and Function Calling. This model delivers exceptional performance across programming, office productivity, and long-horizon autonomous task execution.

Audio-video translation

2026-05-19

Chinese mainland

qwen3.5-livetranslate-flash-realtime, qwen3.5-livetranslate-flash-realtime-2026-05-19

An audio/video real-time translation model that recognizes 60 source languages and translates audio into 29 languages.Real-time audio and video translation - Qwen

Music generation

2026-05-06

Chinese mainland

fun-music-v1

The Fun Music model accepts open-ended song creation requests or lyrics as input to generate full songs with male or female vocals in Chinese or English. Songs are catchy and emotionally rich, combining human inspiration with large model capabilities. Music generation

Reasoning model

2026-04-29

Chinese mainland

deepseek-v4-pro

The unit price of cached_token for deepseek-v4-pro is updated to USD 0.13752131580395 per million tokens. The standard input_token price remains unchanged. See Context Cache.

Text-to-video

2026-04-27

Chinese mainland

happyhorse-1.0-t2v

HappyHorse text-to-video model. Supports audio video generation with 3-15 seconds duration at 720P/1080P resolution. HappyHorse - text-to-video

Image-to-video

2026-04-27

Chinese mainland

happyhorse-1.0-i2v

HappyHorse image-to-video model. Supports audio video generation with 3-15 seconds duration at 720P/1080P resolution. HappyHorse image-to-video (first frame)

Reference-to-video

2026-04-27

Chinese mainland

happyhorse-1.0-r2v

HappyHorse reference-to-video model. Supports multiple reference images as input to generate audio videos with 3-15 seconds duration at 720P/1080P resolution. HappyHorse - reference-to-video

Video editing

2026-04-27

Chinese mainland

happyhorse-1.0-video-edit

HappyHorse video editing model. Supports video editing and processing. HappyHorse - video editing

Text-to-video

2026-07-01

Chinese mainland

wan2.7-t2v-2026-06-12

A snapshot version of the Wan 2.7 text-to-video model. The model capabilities are the same as wan2.7-t2v. Wan2.7 - text-to-video

Text-to-video

2026-04-26

Chinese mainland

wan2.7-t2v-2026-04-25

A snapshot version of the Wan 2.7 text-to-video model. The model capabilities are the same as wan2.7-t2v. Wan2.7 - text-to-video

Image-to-video

2026-04-26

Chinese mainland

wan2.7-i2v-2026-04-25

A snapshot version of the Wan 2.7 image-to-video model. The model capabilities are the same as wan2.7-i2v. Wan2.7 - image-to-video

Reasoning model

2026-04-24

Chinese mainland

deepseek-v4-pro, deepseek-v4-flash

DeepSeek-V4 series models hosted by Alibaba Cloud (Beijing region). deepseek-v4-pro is a large-scale MoE model with strong general reasoning capabilities. deepseek-v4-flash is a lightweight and cost-effective model optimized for speed.DeepSeek

Image generation

2026-04-23

Chinese mainland

qwen-image-2.0-pro-2026-04-22

A model in the Qwen-Image-2.0 series that unifies image generation and editing. Compared with the March 3 snapshot, this model delivers a significant leap in visual quality — especially texture detail, lighting, and materials. It supports multilingual in-image text generation and delivers more balanced artistic style performance.

Reasoning model

2026-04-23

Chinese mainland

qwen3.5-plus-2026-04-20

A new snapshot of the Qwen3.5 native vision-language Plus model. Compared with the February 15 snapshot, agentic coding capabilities are significantly improved and inference speed is notably faster. Knowledge, reasoning, and long-context capabilities remain at a high level, making it well suited for agentic coding, production workflows, and high-throughput scenarios.

Reasoning model

2026-04-23

Chinese mainland

qwen3.6-27b

A 27B native vision-language dense model in the Qwen3.6 series. Compared with Qwen3.5-27B, agentic coding capabilities are significantly improved, and STEM and reasoning abilities are further enhanced. On the vision side, spatial intelligence and object localization & detection are notably stronger, while video understanding, document OCR, and visual Agent capabilities are steadily improved.

Text generation and visual understanding

2026-04-21

Chinese mainland

kimi-k2.6

The latest and most intelligent model from Moonshot AI, with stronger and more stable long-range code writing capabilities, and significantly improved instruction following and self-correction abilities. Supports text, image, and video input, thinking and non-thinking modes, as well as dialogue and Agent tasks. Kimi - Alibaba Cloud

Reasoning model

2026-04-20

Chinese mainland

qwen3.6-max-preview

The largest proprietary model in the Qwen3.6 series, with further improved coding capabilities and more efficient agent execution. Supports text-only input, thinking mode (enabled by default), explicit caching, and function calling. Overview

Image and video inputs are not supported.

Reasoning model

2026-04-16

Chinese mainland

qwen3.6-flash, qwen3.6-flash-2026-04-16, qwen3.6-35b-a3b

A native vision-language Flash model in the Qwen3.6 series, delivering significant overall performance improvements over Qwen3.5-Flash. Agentic coding capabilities are substantially enhanced (far surpassing the predecessor on multiple code agent benchmarks), along with stronger math and code reasoning. On the vision side, spatial intelligence is notably improved, with object localization and detection being particularly outstanding. Overview

Speech recognition

2026-04-16

Chinese mainland

fun-asr, fun-asr-2025-11-07

Fun-ASR real-time speech recognition capability upgrades:

• Dialect support: Covers the seven major Chinese dialects (Mandarin, Wu, Xiang, Gan, Hakka, Min, Yue) and 20+ regional accents

• Ancient poetry optimization: Improves ancient poetry recognition accuracy for cultural education and audiobook scenarios

• Text optimization: Enhances punctuation prediction and text normalization. Numbers, dates, and amounts automatically convert to standard formats

• Multi-language expansion: Supports 30 languages, including Chinese, English, Japanese, Korean, French, German, and Spanish

For more information, see Non-real-time speech recognition.

Reasoning model

2026-04-14

Chinese mainland

glm-5.1

The Zhipu GLM-5.1 model is designed for long-horizon tasks and supports a 200K context window with a maximum output of 128K tokens. With strong logical reasoning, long-text comprehension, and code generation capabilities, it delivers excellent results across multiple benchmarks and is well suited for intelligent interaction, enterprise applications, and development assistance. GLM - Alibaba Cloud

Text generation

2026-04-14

Chinese mainland

qwen-flash-character

A multilingual role-playing model in the Qwen series. Designed for lifelike character personas. Strictly follows the assigned persona, proactively drives conversations, listens and empathizes. Deeply recreates personalized characters. Role-playing (Qwen-Character)

Video editing

2026-04-03

Chinese mainland

wan2.7-videoedit

The Wan 2.7 video editing model supports instruction-based editing and video migration. It can modify parts of a video or the entire frame, and supports multi-image reference replacement and the replication of actions, effects, and camera movements. Wan2.7 - video editing

Image-to-video

2026-04-03

Chinese mainland

wan2.7-i2v

The Wan 2.7 image-to-video model supports multimodal input, including text, images, audio, and video. It performs three main tasks: generating video from a first frame, generating video from first and last frames, and video continuation. Wan2.7 - image-to-video

Text-to-video

2026-04-03

Chinese mainland

wan2.7-t2v

The Wan 2.7 text-to-video model adds new resolution tiers and custom aspect ratio settings. This allows for flexible adaptation to different creative scenarios and platform publishing needs. Wan2.7 - text-to-video

Reference-to-video

2026-04-03

Chinese mainland

wan2.7-r2v

The Wan 2.7 reference-to-video model supports subject referencing and voice customization. It can generate a scripted video directly from a single, multi-panel storyboard image. Wan2.7 - reference-to-video

Reasoning model

2026-04-02

Chinese mainland

qwen3.6-plus, qwen3.6-plus-2026-04-02

Qwen3.6-Plus features significant upgrades to its code development capabilities, such as Agentic Coding and frontend programming, and provides a significantly enhanced Vibe Coding experience. Its inference capabilities in generalization scenarios are further enhanced. For multimodal capabilities, its performance in universal object recognition, OCR, and object localization is significantly improved. This version also fixes known issues that were identified after Qwen3.5-Plus was published. The usage method is the same as that of qwen3.5-plus. Overview

Image generation and editing

2026-04-01

Chinese mainland

wan2.7-image-pro, wan2.7-image

The Wan 2.7 image generation and editing model supports text-to-image, text-to-image-set, image-to-image-set, image editing, multi-image reference generation, and interactive editing, with improved performance in text rendering, subject consistency, and complex instruction following. The Pro series supports 4K output; the accelerated version balances quality and response speed. Wan - image generation and editing 2.7

Omni-modal

2026-03-30

Chinese mainland

qwen3.5-omni-plus, qwen3.5-omni-plus-2026-03-15, qwen3.5-omni-flash, qwen3.5-omni-flash-2026-03-15

The latest omni-modal model. It supports long video analysis, meeting minutes, subtitle output, security audits, and audio-video interaction. It also supports deep understanding and description generation for audio and video content, recognizes 113 languages, and generates audio in 36 languages. It can process up to 3 hours of audio and 1 hour of video input, and supports web search and instructions to control the volume, speed, and emotion of the output audio. Non-real-time (Qwen-Omni)

Omni-modal

2026-03-30

Chinese mainland

qwen3.5-omni-plus-realtime, qwen3.5-omni-plus-realtime-2026-03-15, qwen3.5-omni-flash-realtime, qwen3.5-omni-flash-realtime-2026-03-15

The latest real-time multimodal model from Qwen. Compared to the previous generation Qwen3-Omni-Flash-Realtime, it features significantly improved intelligence on par with Qwen3.5-Plus. It natively supports web search (WebSearch), voice interruption, and voice control. It recognizes 113 languages and dialects, and generates speech in 36 languages and dialects. Qwen-Omni-Realtime

Reasoning model

2026-03-11

Chinese mainland

MiniMax-M2.5

A new model from MiniMax, featuring fast response speeds and excelling in tasks such as coding and office work. Usage

Speech recognition

2026-03-05

Chinese mainland

fun-asr-realtime-2026-02-28

Fun-ASR real-time speech recognition adds a new snapshot model, which performs better than fun-asr-realtime-2025-11-07. Real-time speech recognition - Fun-ASR/Paraformer

Image generation and editing

2026-03-03

Chinese mainland

qwen-image-2.0, qwen-image-2.0-2026-03-03, qwen-image-2.0-pro, qwen-image-2.0-pro-2026-03-03

The Qwen Image 2.0 series supports both image generation and editing. The Pro series offers stronger text rendering, realistic quality, and semantic instruction following. The accelerated version balances quality and response speed. Qwen - text-to-image, Qwen-Image Edit

Speech recognition

2026-03-03

Chinese mainland

qwen3-asr-flash-2026-02-10

Qwen audio file recognition adds a new snapshot model, which performs better than qwen3-asr-flash-2025-09-08. Non-real-time speech recognition

Speech synthesis

2026-03-02

Chinese mainland

cosyvoice-v3.5-plus, cosyvoice-v3.5-flash

The CosyVoice3.5 model is released. It focuses on voice cloning and design, and supports instruction-based control of speech synthesis. Real-time speech synthesis - CosyVoice

Reasoning model

2026-02-24

Chinese mainland

qwen3.5-flash, qwen3.5-flash-2026-02-23, qwen3.5-122b-a10b, qwen3.5-27b, qwen3.5-35b-a3b

The latest Qwen3.5-Flash model and open-source model from Alibaba, supporting text, image, and video input with fast response speed. Its overall performance is close to qwen3.5-plus. Supports built-in Text generation overview. Overview

Code model

2026-02-20

Chinese mainland

qwen3-coder-next

A new-generation open source code generation model in the Qwen3 series. It supports multi-turn tool interactions, and has an enhanced understanding of repository-level code and better adaptability to AI programming tools. Code capabilities (Qwen-Coder)

Reasoning model

2026-02-18

Chinese mainland

glm-5

Zhipu's latest model, designed for programming and agent scenarios, excels at complex systems engineering and long-horizon agent tasks. GLM - Alibaba Cloud

Reasoning model

2026-02-16

Chinese mainland

qwen3.5-plus, qwen3.5-plus-2026-02-15, qwen3.5-397b-a17b

The latest Qwen3.5-Plus and open source models from Alibaba. They support text, image, and video inputs and deliver outstanding performance across multiple tasks, such as language understanding, logical reasoning, code generation, agent tasks, image understanding, video understanding, and graphical user interface (GUI) interaction. They also support built-in tool calling. Overview

Speech recognition

2026-02-13

Chinese mainland

qwen3-asr-flash-realtime-2026-02-10

A new snapshot model for Qwen real-time speech recognition is added, which performs better than qwen3-asr-flash-realtime-2025-10-27. Real-time speech recognition

Speech recognition

2026-02-12

Chinese mainland

fun-asr-flash-8k-realtime, fun-asr-flash-8k-realtime-2026-01-28

A new lightweight ASR model based on the Fun-ASR architecture, optimized for 8 kHz scenarios and suitable for cost-sensitive customers. Real-time speech recognition - Fun-ASR/Paraformer

Speech synthesis

2026-02-10

Chinese mainland

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

Qwen speech synthesis introduces an Instruct model, which lets you precisely control the synthesis effect using natural language instructions. Non-real-time speech synthesis

Speech synthesis

2026-02-10

Chinese mainland

qwen3-tts-vd-2026-01-26

Qwen speech synthesis introduces a voice design model, which lets you create custom voices using text descriptions. Non-real-time speech synthesis

Speech synthesis

2026-02-10

Chinese mainland

qwen3-tts-vc-2026-01-22

Qwen speech synthesis introduces a voice cloning model, which lets you quickly clone voices from real audio samples. Non-real-time speech synthesis

Speech synthesis

2026-02-04

Chinese mainland

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

Qwen real-time speech synthesis adds an Instruct model, which lets you precisely control the synthesis effect using natural language instructions. Real-time speech synthesis

Reference-to-video

2026-02-02

Chinese mainland

wan2.6-r2v-flash

Generates multi-shot videos with automatic dubbing, using a character's appearance from a reference video or image. Wan - Reference-to-Video

Text generation and visual understanding

2026-01-30

Chinese mainland

kimi-k2.5

A visual understanding model from Moonshot AI that excels at general intelligence tasks such as code generation and visual understanding. It supports image, video, and text inputs, and can perform dialogue and agent tasks. Kimi - Alibaba Cloud

Speech recognition

2026-01-28

Chinese mainland

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

The Qwen3-ASR-Flash-Filetrans series models now support word-level timestamps. By setting the new enable_words parameter, you can get millisecond-level word and character alignment information and experience more semantically accurate, fine-grained sentence segmentation. Non-real-time speech recognition

Reasoning model

2026-01-27

Chinese mainland

qwen3-max-2026-01-23

Compared to the snapshot version from September 23, 2025, this model effectively merges thinking and non-thinking modes, significantly enhancing its overall performance. In thinking mode, the model is integrated with three tools: web search, web information extraction, and code interpreter. Using external tools during its thought process, it achieves higher accuracy on complex problems. OpenAI-compatible - Responses

Visual understanding

2026-01-23

Chinese mainland

qwen3-vl-flash-2026-01-22

A new snapshot of Qwen-VL. Compared to the snapshot from October 15, 2025, it effectively merges thinking and non-thinking modes, significantly enhancing the model's overall performance. It achieves higher inference accuracy in business scenarios such as general visual recognition, security monitoring, store and patrol inspections, and photo-based problem solving. Image and video understanding

Image-to-video

2026-01-17

Chinese mainland

wan2.6-i2v-flash

Supports the generation of videos with and without sound. The two types of videos are billed independently according to their respective billing rules. It also provides multi-shot narrative and audio processing capabilities. Wan - Image-to-video - based on first frame

Image editing

2026-01-17

Chinese mainland

qwen-image-edit-max, qwen-image-edit-max-2026-01-16

The Qwen-Image-Edit-Max series offers more stable and richer editing capabilities, enhanced industrial design and geometric inference capabilities, and improved character consistency and editing precision. Image editing - Qwen

Speech synthesis

2026-01-16

Chinese mainland

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

Qwen real-time speech synthesis adds a new snapshot model with further optimized quality. The synthesized voice is more natural and closer to the original compared to qwen3-tts-vc-realtime-2025-11-27. Real-time speech synthesis - Qwen, Real-time speech synthesis

Text-to-image

2026-01-12

Chinese mainland

qwen-image-plus-2026-01-09

This new snapshot model for Qwen text-to-image is a distilled and accelerated version of qwen-image-max that rapidly generates high-quality images. Qwen - text-to-image

Reasoning model

2026-01-12

Chinese mainland

deepseek-v3.2

The deepseek-v3.2 model supports implicit and explicit caching to improve response speed and reduce usage costs without affecting response quality. Context Cache

Image-to-video

2026-01-08

Chinese mainland

wan2.2-kf2v-flash

Based on a prompt and the input start and end frames, the model can generate a smooth, dynamic video. First-and-last-frame-to-video

Speech recognition

2026-01-06

Chinese mainland

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

Qwen3-ASR-Flash supports OpenAI compatible mode. Non-real-time speech recognition

Speech synthesis

2026-01-05

Chinese mainland

cosyvoice-v3-flash

CosyVoice speech synthesis adds 24 new voice timbres (for details, see CosyVoice Voice list):

• Dialects: Long Jiayi, Long Laotie

• Overseas marketing: loongkyong, loongtomoka

• Poetry reading: Long Fei

• Voice assistant: Long Xiaochun, Long Xiaoxia, YUMI

• Social companionship: Long Cheng, Long Ze, Long Zhe, Long Yan, Long Xing, Long Tian, Long Wan, Long Qiang, Long Feifei, Long Hao

• Audiobook: Long Sanshu, Long Yuan, Long Yue, Long Xiu, Long Nan

• News report: Long Shu

Text-to-image

2025-12-31

Chinese mainland

qwen-image-max, qwen-image-max-2025-12-30

The Max series of the Qwen image generation model enhances image realism and naturalness compared to the Plus series, effectively reduces AI-generated artifacts, and excels in areas such as character textures, texture details, and text rendering. Qwen - text-to-image

Image editing

2025-12-23

Chinese mainland

qwen-image-edit-plus-2025-12-15

The latest snapshot model for Qwen image editing enhances character consistency, industrial design capabilities, and geometric inference compared to the previous version. It also optimizes the alignment of spatial layout, texture, and style between the edited and original images, resulting in more precise edits. Image editing - Qwen

Text-to-image

2025-12-19

Chinese mainland

z-image-turbo

A lightweight text-to-image model that quickly generates high-quality images. It supports bilingual rendering in Chinese and English, complex semantic understanding, multiple styles and themes, and flexible adaptation to various resolutions and aspect ratios. Text-to-image Z-Image

Visual understanding

2025-12-19

Chinese mainland

qwen3-vl-plus-2025-12-19

The new Qwen-VL snapshot model features improved instruction-following capabilities and lower latency. Image and video understanding

Speech recognition

2025-12-19

Chinese mainland

qwen3-asr-flash-filetrans, qwen3-asr-flash-filetrans-2025-11-17, qwen3-asr-flash, qwen3-asr-flash-2025-09-08

Speech recognition now supports 9 more languages, including Czech and Danish. Non-real-time speech recognition

Speech recognition

2025-12-17

Chinese mainland

qwen3-asr-flash-realtime, qwen3-asr-flash-realtime-2025-10-27

Speech recognition is now supported in nine additional languages, including Czech and Danish. Real-time speech recognition

Speech recognition

2025-12-17

Chinese mainland

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

Supports audio with any sample rate and sound channel. Non-real-time speech recognition

Speech recognition

2025-12-17

Chinese mainland

fun-asr-mtl, fun-asr-mtl-2025-08-25

Supports speech recognition for 31 languages, including Chinese, English, Japanese, and Korean. Ideal for scenarios in Southeast Asia. Audio file recognition - Fun-ASR/Paraformer

Speech synthesis

2025-12-16

Chinese mainland

qwen3-tts-vd-realtime-2025-12-16(Snapshot)

Qwen real-time speech synthesis releases a new snapshot model that supports using Qwen voice design generated voice tones for low-latency, highly stable real-time synthesis; supports multilingual output; automatically adjusts intonation based on text and optimizes synthesis performance for complex texts.Real-time speech synthesis

Text-to-image

2025-12-16

Chinese mainland

wan2.6-t2i

A new sync interface is added. It supports selecting custom dimensions within the constraints of total pixel area and aspect ratio. Wan - Text-to-image V2

Image generation and editing

2025-12-16

Chinese mainland

wan2.6-image

Supports image editing and mixed image-text output. Wan - Image Generation and Editing 2.6

Image-to-video - based on first frame

2025-12-16

Chinese mainland

wan2.6-i2v

Adds the multi-shot narrative feature and audio support, allowing you to use automatic dubbing or upload a custom audio file. Wan - Image-to-video - based on first frame

Reference-to-video

2025-12-16

Chinese mainland

wan2.6-r2v

Generates a multi-shot video based on a character's appearance and voice from a reference video. It also supports automatic dubbing. Wan - Reference-to-Video

Text-to-video

2025-12-16

Chinese mainland

wan2.6-t2v

Adds the multi-shot narrative feature, which supports audio using automatic dubbing or custom audio files. Text-to-Video

Speech recognition

2025-12-12

Chinese mainland

fun-asr, fun-asr-2025-11-07

Feature updates for Fun-ASR audio file recognition:

• Supports singing recognition and full song transcription. For details, see Audio file recognition - Fun-ASR/Paraformer.

Speech synthesis

2025-12-11

Chinese mainland

cosyvoice-v3-flash, cosyvoice-v3-plus

• The cosyvoice-v3-flash model now includes five new system voices: longanrou_v3, longyingjing_v3, longyingling_v3, longanling_v3, and longhan_v3. All these voices support the timestamp and SSML features. See CosyVoice Voice list.

• The voice cloning feature for the cosyvoice-v3-flash and cosyvoice-v3-plus models has been enhanced. The feature now supports timestamps and SSML, and provides improved prosody. To try the enhancement, create a new voice. See CosyVoice voice cloning/design API.

Omni-modal

2025-12-04

Chinese mainland

qwen3-omni-flash-2025-12-01

The latest Qwen Omni snapshot model increases the number of supported timbres to 49 and features a significant upgrade to its instruction-following capabilities, enabling it to efficiently understand text, images, audio, and video. Non-real-time (Qwen-Omni)

Real-time multimodal

2025-12-04

Chinese mainland

qwen3-omni-flash-realtime-2025-12-01

The latest snapshot model for the Qwen Omni real-time version offers low-latency multimodal interaction. The number of supported timbres is increased to 49, and the model's instruction-following ability and interactive experience are significantly upgraded. Qwen-Omni-Realtime

Speech translation

2025-12-04

Chinese mainland

qwen3-livetranslate-flash, qwen3-livetranslate-flash-2025-12-01

Qwen3-LiveTranslate-Flash is an audio and video translation model that translates between 18 languages, such as Chinese, English, Russian, and French. It uses visual context to improve translation accuracy and provides both text and speech output. Audio and video file translation - Qwen

Reasoning model

2025-12-04

Chinese mainland

deepseek-v3.2

DeepSeek-V3.2 is the official model that introduces DeepSeek Sparse Attention, a sparse attention mechanism. It is also the first DeepSeek model to integrate thinking with tool usage, and it supports tool calling in both thinking and non-thinking modes.

DeepSeek

Multilingual translation

2025-12-02

Chinese mainland

qwen-mt-lite

The Qwen basic text translation model supports translation between 31 languages. Compared to qwen-mt-flash, this model provides faster responses at a lower cost, making it suitable for latency-sensitive scenarios. Machine translation (Qwen-MT)

Voice cloning

2025-11-27

Chinese mainland

qwen-voice-enrollment

Qwen released a voice cloning model. It can quickly generate a highly similar voice from an audio clip of 5 seconds or more. When combined with the qwen3-tts-vc-realtime-2025-11-27 model, it can clone a person's voice with high fidelity and output it in real time across 11 languages. Voice cloning (Qwen)

Speech synthesis

2025-11-27

Chinese mainland

qwen3-tts-vc-realtime-2025-11-27(Snapshot)

Qwen real-time speech synthesis releases a new snapshot model that supports using Qwen voice cloning generated voice tones for low-latency, highly stable real-time synthesis; supports multilingual output; automatically adjusts intonation based on text and optimizes synthesis performance for complex texts.Real-time speech synthesis

Speech synthesis

2025-11-27

Chinese mainland

qwen3-tts-flash-realtime-2025-11-27(Snapshot)

Qwen real-time speech synthesis releases a new snapshot model with low latency and high stability; richer voice tones with multilingual output support for the same voice; automatically adjusts intonation based on text and improves synthesis performance for complex texts.Real-time speech synthesis

Speech synthesis

2025-11-27

Chinese mainland

qwen3-tts-flash-2025-11-27(Snapshot)

Qwen speech synthesis releases a new snapshot model with richer voice tones; the same voice supports multilingual output; adaptively adjusts intonation based on text and optimizes synthesis capability for complex texts.Non-real-time speech synthesis

Text extraction

2025-11-21

Chinese mainland

qwen-vl-ocr-2025-11-20(Snapshot)

Qwen text extraction model. This snapshot version is based on the Qwen3-VL architecture, significantly improving document parsing and text localization capabilities.Text extraction (Qwen-OCR)

Speech recognition

2025-11-20

Chinese mainland

qwen3-asr-flash-filetrans, qwen3-asr-flash-filetrans-2025-11-17(Snapshot)

Qwen audio file recognition releases a new model specifically designed for asynchronous transcription of audio files, supporting recordings up to 12 hours.Non-real-time speech recognition

Speech synthesis

2025-11-19

Chinese mainland

cosyvoice-v3-flash

This version improves pronunciation accuracy and voice similarity compared to previous versions. It also supports more languages, including German, Spanish, French, Italian, and Russian. Real-time speech synthesis - CosyVoice

Reasoning model

2025-11-11

Chinese mainland

kimi-k2-thinking

This is a thinking model from Moonshot AI. It has general agent and reasoning capabilities, excels at deep reasoning, and can solve complex problems through multi-step tool calling. Kimi - Alibaba Cloud

Multilingual translation

2025-11-10

Chinese mainland

qwen-mt-flash

Compared to qwen-mt-turbo, this model supports streaming incremental output and has improved overall performance. Machine translation (Qwen-MT)

Image-to-video

2025-11-04

Chinese mainland

wan2.2-animate-mix

Replaces the main character in a reference video with the character from an input image, while preserving the original video's scene, lighting, and tone for a seamless character replacement. Wan - Video character replacement

Reasoning model

2025-11-03

Chinese mainland

qwen3-max-preview

The thinking mode of the qwen3-max-preview model provides significant improvements in overall reasoning capabilities, especially delivering superior performance in agent programming, common-sense reasoning, math, science, and general tasks. Deep thinking

Image-to-video

2025-11-03

Chinese mainland

wan2.2-animate-move

Transfers the actions and expressions of a character from a template video to a single static character image to generate a video of the character in motion. Wan - Image-to-action

Image editing

2025-10-31

Chinese mainland

qwen-image-edit-plus, qwen-image-edit-plus-2025-10-30

Based on qwen-image-edit, this model offers optimized inference performance and system stability. It greatly reduces the response time for image generation and editing, and supports returning multiple images in a single request. Image editing - Qwen

Real-time speech recognition

2025-10-27

Chinese mainland

qwen3-asr-flash-realtime, qwen3-asr-flash-realtime-2025-10-27

The Qwen real-time speech recognition model features automatic language detection. It can recognize 11 language types and transcribe audio accurately in complex environments. Real-time speech recognition

Visual understanding

2025-10-21

Chinese mainland

qwen3-vl-32b-thinking, qwen3-vl-32b-instruct

A 32B dense model from the Qwen3-VL series. Its overall performance is second only to the Qwen3-VL-235B model. It excels in document recognition and understanding, spatial intelligence, object recognition, 2D visual detection, and spatial reasoning. It is suitable for complex perception tasks in general scenarios. Image and video understanding

Visual understanding

2025-10-16

Chinese mainland

qwen3-vl-flash, qwen3-vl-flash-2025-10-15

A small-sized visual understanding model from the Qwen3 series. It effectively combines thinking and non-thinking modes. Compared to the open source Qwen3-VL-30B-A3B, it performs better and responds faster. Image and video understanding

Visual understanding

2025-10-14

Chinese mainland

qwen3-vl-8b-thinking, qwen3-vl-8b-instruct

An 8B dense open source model from the Qwen3-VL series, available in both thinking and non-thinking versions. It uses less GPU memory and can perform multimodal understanding and reasoning. It supports ultra-long contexts such as long videos and long documents, 2D/3D visual positioning, and comprehensive spatial intelligence and object recognition. Image and video understanding

Visual understanding

2025-10-03

Chinese mainland

qwen3-vl-30b-a3b-thinking, qwen3-vl-30b-a3b-instruct

Based on the new-generation, open source Qwen3-VL model, it is available in both thinking and non-thinking versions. It has a fast response speed and stronger capabilities for multimodal understanding, reasoning, and visual agent tasks. It also supports ultra-long contexts such as long videos and documents. Its spatial intelligence and object recognition capabilities are fully upgraded to handle complex real-world tasks. Image and video understanding

Reasoning model

2025-09-30

Chinese mainland

deepseek-v3.2-exp

A hybrid reasoning model that supports both thinking and non-thinking modes. It introduces a sparse attention mechanism to improve training and inference efficiency for long texts, priced lower than deepseek-v3.1. For details, see DeepSeek.

Text-to-image

2025-09-23

Chinese mainland

qwen-image-plus

This model excels at rendering complex text, especially Chinese and English. It can create complex mixed-media layouts of images and text. It is more cost-effective than qwen-image. Text-to-image (Qwen-Image)

Visual understanding

2025-09-23

Chinese mainland

qwen3-vl-plus, qwen3-vl-plus-2025-09-23, qwen3-vl-235b-a22b-thinking, qwen3-vl-235b-a22b-instruct

The Qwen3 series of visual understanding models effectively combines thinking and non-thinking modes, and their visual agent capabilities are world-class. This version features comprehensive upgrades in visual encoding, spatial intelligence, and multimodal thinking. Their visual perception and recognition capabilities are significantly improved. Image and video understanding

Code model

2025-09-23

Chinese mainland

qwen3-coder-plus-2025-09-23

Compared to the previous version (July 22 snapshot), this version has improved robustness for downstream tasks and tool calling, and enhanced code security. Code capabilities (Qwen-Coder)

Reasoning model

2025-09-11

Chinese mainland

qwen-plus-2025-09-11

This model is part of the Qwen3 series. Compared to qwen-plus-2025-07-28, it follows instructions better and provides more concise summaries in thinking mode. See Deep thinking. In non-thinking mode, it has enhanced Chinese language understanding and logical reasoning. See Overview.

Reasoning model

2025-09-11

Chinese mainland

qwen3-next-80b-a3b-thinking, qwen3-next-80b-a3b-instruct

A next-generation open-source model based on Qwen3. The thinking modelhas improved instruction following and more concise summaries compared with qwen3-235b-a22b-thinking-2507. See Deep thinking.The instruct modelhas enhanced Chinese comprehension, logical reasoning, and text generation compared with qwen3-235b-a22b-instruct-2507. See Overview.

Text generation

2025-09-05

Chinese mainland

qwen3-max-preview

The Qwen-Max model (preview), based on Qwen3, offers significant improvements in general capabilities compared to the Qwen 2.5 series. It has significantly enhanced abilities in Chinese and English text understanding, complex instruction following, subjective open-ended tasks, multilingual tasks, and tool calling. The model also has fewer knowledge hallucinations.

Text, image, video, speech, etc.

2025-08-05

Chinese mainland

Model

First launch in the Chinese mainland region.

Type

Time

Deployment scope

Model

Description

Text-to-video

2026-06-26

Global

happyhorse-1.1-t2v

HappyHorse 1.1 text-to-video model. Supports audio video generation with 3-15 seconds duration at 720P/1080P resolution. HappyHorse - text-to-video

Image-to-video

2026-06-26

Global

happyhorse-1.1-i2v

HappyHorse 1.1 image-to-video model. Supports audio video generation with 3-15 seconds duration at 720P/1080P resolution. HappyHorse image-to-video (first frame)

Reference-to-video

2026-06-26

Global

happyhorse-1.1-r2v

HappyHorse 1.1 reference-to-video model. Supports multiple reference images as input to generate audio videos with 3-15 seconds duration at 720P/1080P resolution. HappyHorse - reference-to-video

Reasoning model

2026-06-10

Global

qwen3.7-max-2026-06-08

The Max model, the largest and most capable in the Qwen3.7 series, has added visual-modal understanding compared to the May 20 snapshot, enabling it to perceive real-world scenes and supporting multimodal interactive hybrid agent capabilities.

Reasoning model

2026-06-02

Global

qwen3.7-plus, qwen3.7-plus-2026-05-26

The Qwen3.7-Plus series comprehensively upgrades vision-language capabilities on top of strong text abilities, while maintaining full agent capabilities in coding, tool use, and productivity workflows. Its core feature is multimodal interactive hybrid agent capability, enabling perception of real-world scenes, screen reading and GUI operation, code generation from visual references, and end-to-end mobile app navigation.

Reasoning model

2026-05-21

Global

qwen3.7-max, qwen3.7-max-2026-05-20

Next-generation flagship model in the Qwen Max series. Text-only input, thinking mode enabled by default, supports explicit cache and Function Calling. This model delivers exceptional performance across programming, office productivity, and long-horizon autonomous task execution.

Reasoning model

2026-04-02

Global

qwen3.6-plus, qwen3.6-plus-2026-04-02

Qwen3.6-Plus features significant upgrades to its code development capabilities, such as Agentic Coding and frontend programming, and provides a significantly enhanced Vibe Coding experience. Its inference capabilities in generalization scenarios are further enhanced. For multimodal capabilities, its performance in universal object recognition, OCR, and object localization is significantly improved. This version also fixes known issues that were identified after Qwen3.5-Plus was published. The usage method is the same as that of qwen3.5-plus. Overview

Reasoning model

2026-03-17

China (Hong Kong)

qwen3-max, qwen3-max-2026-01-23

Compared to the snapshot from September 23, 2025, this model better integrates thinking and non-thinking modes for significantly improved overall performance. In thinking mode, the model uses three tools: Web search, web page information extraction, and a code interpreter. Using these external tools helps the model achieve higher accuracy on complex problems. OpenAI compatible-Responses

Reasoning model

2026-03-17

China (Hong Kong)

qwen-plus, qwen-plus-2025-12-01

This model is part of the Qwen3 series and is an improvement over qwen-plus-2025-07-28. In thinking mode, it follows instructions better and provides more concise summaries. See Deep thinking. In non-thinking mode, its Chinese language understanding and logical reasoning are enhanced. See Overview.

Reasoning model

2026-03-17

China (Hong Kong)

qwen3.5-flash, qwen3.5-flash-2026-02-23

The latest Qwen3.5-Flash model and open-source model from Alibaba, supporting text, image, and video input with fast response speed. Supports built-in Tool calling. Overview

Visual understanding

2026-03-17

China (Hong Kong)

qwen3-vl-plus, qwen3-vl-plus-2025-12-19

A visual understanding model in the Qwen3 series that effectively integrates thinking mode and non-thinking mode, achieving world-leading visual agent capabilities. This version includes comprehensive upgrades in visual encoding, spatial perception, and multimodal reasoning. Visual perception and recognition capabilities are significantly improved, with stronger instruction-following ability and lower latency. Image and video understanding

Type

Time

Deployment scope

Model

Description

Text-to-video

2026-06-26

Global

happyhorse-1.1-t2v

HappyHorse 1.1 text-to-video model. Supports audio video generation with 3-15 seconds duration at 720P/1080P resolution. HappyHorse - text-to-video

Image-to-video

2026-06-26

Global

happyhorse-1.1-i2v

HappyHorse 1.1 image-to-video model. Supports audio video generation with 3-15 seconds duration at 720P/1080P resolution. HappyHorse image-to-video (first frame)

Reference-to-video

2026-06-26

Global

happyhorse-1.1-r2v

HappyHorse 1.1 reference-to-video model. Supports multiple reference images as input to generate audio videos with 3-15 seconds duration at 720P/1080P resolution. HappyHorse - reference-to-video

Reasoning model

2026-06-10

Global

qwen3.7-max-2026-06-08

The Max model, the largest and most capable in the Qwen3.7 series, has added visual-modal understanding compared to the May 20 snapshot, enabling it to perceive real-world scenes and supporting multimodal interactive hybrid agent capabilities.

Reasoning model

2026-06-02

Global

qwen3.7-plus, qwen3.7-plus-2026-05-26

The Qwen3.7-Plus series comprehensively upgrades vision-language capabilities on top of strong text abilities, while maintaining full agent capabilities in coding, tool use, and productivity workflows. Its core feature is multimodal interactive hybrid agent capability, enabling perception of real-world scenes, screen reading and GUI operation, code generation from visual references, and end-to-end mobile app navigation.

Reasoning model

2026-05-21

Global

qwen3.7-max, qwen3.7-max-2026-05-20

Next-generation flagship model in the Qwen Max series. Text-only input, thinking mode enabled by default, supports explicit cache and Function Calling. This model delivers exceptional performance across programming, office productivity, and long-horizon autonomous task execution.

Reasoning model

2026-05-20

Global

glm-5.1

Zhipu GLM-5.1 model, designed for long-range tasks with 200K context support and up to 128K token output. With powerful logical reasoning, long-text understanding, and code generation capabilities, it achieves excellent results on multiple benchmarks, suitable for intelligent interaction, enterprise applications, and development assistance scenarios.GLM - Alibaba Cloud

Text-to-video

2026-05-06

Global

happyhorse-1.0-t2v

HappyHorse text-to-video model. Supports audio video generation with 3-15 seconds duration at 720P/1080P resolution. HappyHorse - text-to-video

Image-to-video

2026-05-06

Global

happyhorse-1.0-i2v

HappyHorse image-to-video model. Supports audio video generation with 3-15 seconds duration at 720P/1080P resolution. HappyHorse image-to-video (first frame)

Video editing

2026-05-06

Global

happyhorse-1.0-video-edit

HappyHorse video editing model. Supports video editing and processing. HappyHorse - video editing

Reference-to-video

2026-05-06

Global

happyhorse-1.0-r2v

HappyHorse reference-to-video model. Supports multiple reference images as input to generate audio videos with 3-15 seconds duration at 720P/1080P resolution. HappyHorse - reference-to-video

Text generation and visual understanding

2026-04-29

Global

kimi-k2.5

A visual understanding model from Moonshot AI that excels in general-purpose intelligent tasks such as code generation and visual understanding. It also supports image, video, and text input, along with dialogue and Agent tasks. Kimi - Alibaba Cloud

Reasoning model

2026-04-29

Global

deepseek-v4-pro

The unit price of cached_token for deepseek-v4-pro is updated to USD 0.13752131580395 per million tokens. The standard input_token price remains unchanged. See Context Cache.

Reasoning model

2026-04-02

Global

qwen3.6-plus, qwen3.6-plus-2026-04-02

Qwen3.6-Plus features significant upgrades to its code development capabilities, such as Agentic Coding and frontend programming, and provides a significantly enhanced Vibe Coding experience. Its inference capabilities in generalization scenarios are further enhanced. For multimodal capabilities, its performance in universal object recognition, OCR, and object localization is significantly improved. This version also fixes known issues that were identified after Qwen3.5-Plus was published. The usage method is the same as that of qwen3.5-plus. Overview

Reasoning model

2026-03-20

EU

qwen3-max, qwen3-max-2026-01-23

Compared with the snapshot version from September 23, 2025, this version effectively integrates thinking mode and non-thinking mode, significantly improving overall model performance. In thinking mode, the model integrates three tools: web search, web page information extraction, and code interpreter, achieving higher accuracy on complex problems by incorporating external tools into the reasoning process. OpenAI-compatible - Responses

Reasoning model

2026-03-20

EU

qwen-plus, qwen-plus-2025-12-01

This is a Qwen3 series model. Compared to qwen-plus-2025-07-28, it offers better instruction-following in thinking mode and provides more concise summary responses. See Deep thinking. In non-thinking mode, its Chinese language understanding and logical reasoning are enhanced. See Overview.

Reasoning model

2026-03-20

EU

qwen3.5-flash, qwen3.5-flash-2026-02-23

The latest Qwen3.5-Flash model and open-source model from Alibaba, supporting text, image, and video input with fast response speed. Supports built-in Tool calling. Overview

Visual understanding

2026-03-20

EU

qwen3-vl-plus, qwen3-vl-flash, qwen3-vl-flash-2025-10-15

A visual understanding model in the Qwen3 series that effectively integrates thinking mode and non-thinking mode, achieving world-leading visual agent capabilities. This version includes comprehensive upgrades in visual encoding, spatial perception, and multimodal reasoning. Visual perception and recognition capabilities are significantly improved, with stronger instruction-following ability and lower latency. Image and video understanding

Code capability

2026-03-20

EU

qwen3-coder-next

The Qwen3 series' next-generation open-source code generation model supports multi-turn tool interaction, improves the understanding of repository-level code, and enhances adaptability to AI programming tools. Code capabilities (Qwen-Coder)

Reasoning model

2026-03-04

Global

qwen3.5-flash, qwen3.5-flash-2026-02-23, qwen3.5-122b-a10b, qwen3.5-27b, qwen3.5-35b-a3b

The latest Qwen3.5-Flash model and open-source model from Alibaba, supporting text, image, and video input with fast response speed. Its overall performance is close to qwen3.5-plus. Supports built-in Text generation overview. Overview

Reasoning model

2026-03-04

Global

qwen3.5-plus, qwen3.5-plus-2026-02-15, qwen3.5-397b-a17b

The latest Qwen3.5-Plus model and open-source model from Alibaba, supporting text, image, and video input. It delivers outstanding performance across language understanding, logical reasoning, code generation, agent tasks, image understanding, video understanding, GUI, and other tasks. Supports built-in Text generation overview. Overview

Image generation and editing

2026-01-04

Global

wan2.6-image

Supports image editing and mixed image-text output. Wan - image generation and editing 2.6

Image-to-video - based on first frame

2026-01-04

Global

wan2.6-i2v

Adds the multi-shot narrative feature, which supports audio using automatic dubbing or custom audio files. Wan - image-to-video - first frame-based

Reference-to-video

2026-01-04

Global

wan2.6-r2v

Generates a multi-shot video based on a character's appearance and voice from a reference video. It also supports automatic dubbing. Wan2.7 - reference-to-video

Text-to-video

2026-01-04

Global

wan2.6-t2v

Adds the multi-shot narrative feature, which supports audio using automatic dubbing or custom audio files. Wan2.7 - text-to-video

Visual understanding

2026-01-04

Global

qwen3-vl-flash, qwen3-vl-flash-2025-10-15

This small-size visual understanding model from the Qwen3 series effectively integrates thinking and non-thinking modes. Compared to the open-source Qwen3-VL-30B-A3B, it delivers better performance and a faster response time. Image and video understanding

Visual understanding

2026-01-04

Global

qwen3-vl-8b-thinking, qwen3-vl-8b-instruct

An 8B dense open-source model from the Qwen3-VL series, available in both thinking and non-thinking versions. It uses less GPU memory and performs multimodal understanding and inference. It supports ultra-long contexts such as long videos and documents, 2D/3D visual positioning, and comprehensive spatial intelligence and object recognition. Image and video understanding

Visual understanding

2026-01-04

Global

qwen3-vl-32b-thinking, qwen3-vl-32b-instruct

A 32B Dense model from the Qwen3-VL series. Its overall performance is second only to the Qwen3-VL-235B model. It excels in document recognition and understanding, spatial intelligence, object recognition, visual 2D detection, and spatial reasoning. This makes it suitable for complex perception tasks in general scenarios. Image and video understanding

Visual understanding

2026-01-04

Global

qwen3-vl-plus, qwen3-vl-plus-2025-09-23, qwen3-vl-235b-a22b-thinking, qwen3-vl-235b-a22b-instruct

A visual understanding model from the Qwen3 series. It effectively combines thinking and non-thinking modes, and its visual agent capabilities are among the best in the world. This version features comprehensive upgrades in visual encoding, spatial intelligence, and multimodal thinking. It also significantly improves visual perception and recognition capabilities. Image and video understanding

Reasoning model

2026-01-04

Global

qwen3-next-80b-a3b-thinking, qwen3-next-80b-a3b-instruct

A next-generation open-source model based on Qwen3. The thinking modelhas improved instruction following and more concise summaries compared with qwen3-235b-a22b-thinking-2507. See Deep thinking.The instruct modelhas enhanced Chinese comprehension, logical reasoning, and text generation compared with qwen3-235b-a22b-instruct-2507. See Overview.

Reasoning model

2026-01-04

Global

qwen3-max, qwen3-max-2025-09-23

Compared to the qwen3-max-preview version, this model has been specifically upgraded for agent programming and tool calling. This official release achieves state-of-the-art (SOTA) performance in its domain and supports more complex agent requirements.

Reasoning model

2026-01-04

Global

qwen3-max-preview

The Qwen-Max model is a preview version based on Qwen3. Compared to the Qwen 2.5 series, its general-purpose capabilities are greatly improved, delivering significantly enhanced performance in Chinese and English text comprehension, complex instruction following, subjective open-ended tasks, multilingual processing, and tool calling. The model also produces fewer knowledge hallucinations. Qwen-Max

Code model

2026-01-04

Global

qwen3-coder-flash, qwen3-coder-flash-2025-07-28

The fastest and most cost-effective model in the Qwen Coder series. Code capabilities (Qwen-Coder).

Code model

2026-01-04

Global

qwen3-coder-plus, qwen3-coder-plus-2025-07-22, qwen3-coder-30b-a3b-instruct, qwen3-coder-480b-a35b-instruct

A code generation model based on Qwen3. It has strong Coding Agent capabilities and excels at tool calling and environment interaction. It combines excellent code capabilities with general-purpose abilities. Code capabilities (Qwen-Coder)

Reasoning model

2026-01-04

Global

qwen3-30b-a3b-thinking-2507, qwen3-30b-a3b-instruct-2507

An upgrade of qwen3-30b-a3b. The thinking modelhas improved logical, general, knowledge, and creative capabilities. See Deep thinking.The instruct modelhas improved creative capabilities and model safety. See Overview.

Reasoning model

2026-01-04

Global

qwen3-235b-a22b-thinking-2507, qwen3-235b-a22b-instruct-2507

An upgrade of qwen3-235b-a22b. The thinking modelhas significantly improved logical, general, knowledge, and creative capabilities, suitable for challenging reasoning scenarios. See Deep thinking.The instruct modelhas improved creative capabilities and model safety. See Overview.

Reasoning model

2026-01-04

Global

qwen3-30b-a3b, qwen3-32b, qwen3-14b, qwen3-8b

Qwen3 models support both thinking and non-thinking modes. You can switch between the two modes by using the enable_thinking parameter. In addition, the capabilities of Qwen3 models have been greatly enhanced:

1. 1. Reasoning capability: In evaluations of mathematics, code, and logical reasoning, it significantly outperforms QwQ and non-reasoning models of the same size, and achieves top-tier performance among industry models of a comparable scale.

2. 2. Human preference alignment: Capabilities for creative writing, role-playing, multi-turn conversation, and instruction following are greatly improved. The general capabilities significantly exceed those of models of a similar size.

3. 3. Agent capability: The agent achieves industry-leading performance in both inference and non-inference modes. It accurately invokes external tools.

4. 4. Multilingual capability: The models support over 100 languages and dialects and have significantly improved capabilities in multilingual translation, instruction understanding, and common-sense reasoning.

5. 5. Response format fixes: This version fixes response format issues from previous versions, such as abnormal Markdown, mid-sentence truncation, and incorrect boxed output.

For more information about thinking mode, see Deep thinking. For more information about non-thinking mode, see Overview.

Text extraction

2026-01-04

Global

qwen-vl-ocr-2025-11-20

This snapshot of the Qwen text extraction model is based on the Qwen3-VL architecture and significantly improves document parsing and text localization. Text extraction (Qwen-OCR)

Text extraction

2026-01-04

Global

qwen-vl-ocr

qwen-vl-ocr is a model specialized for OCR, with significantly improved text extraction from tables, exam papers, and similar images. For details, see Text extraction (Qwen-OCR).

Reasoning model

2026-01-04

Global

qwen-plus-2025-12-01, qwen-plus-2025-09-11

A model from the Qwen3 series. Compared to qwen-plus-2025-07-28, it has improved instruction-following capabilities and provides more concise summaries in thinking mode. See Deep thinking. In non-thinking mode, it has enhanced Chinese language comprehension and logical reasoning capabilities. See Overview.

Reasoning model

2026-01-04

Global

qwen-plus-2025-07-28

A model from the Qwen3 series. Compared to the previous version, it increases the context length to 1,000,000. For more information about thinking mode, see Deep thinking. For more information about non-thinking mode, see Overview.

Reasoning model

2026-01-04

Global

qwen-plus

Offers a balance of capabilities. Its inference performance, cost, and speed are between those of Qwen-Max and Qwen-Flash, making it suitable for moderately complex tasks.

Multilingual translation

2026-01-04

Global

qwen-mt-lite

A basic text translation model from Qwen. It supports translation between 31 languages. It offers a faster response and lower cost than qwen-mt-flash, making it suitable for latency-sensitive scenarios. Machine translation (Qwen-MT)

Multilingual translation

2026-01-04

Global

qwen-mt-plus, qwen-mt-flash

The Qwen-MT model is a large language model for machine translation, optimized from the Qwen model. It excels at translation between Chinese and English, between Chinese and minor languages, and between English and minor languages. It supports 26 minor languages, such as Japanese, Korean, French, Spanish, German, Portuguese (Brazil), Thai, Indonesian, Vietnamese, and Arabic. In addition to multilingual translation, it offers features such as terminology intervention, domain prompting, and translation memory to improve translation quality in complex scenarios. See Machine translation (Qwen-MT).

Text generation

2026-01-04

Global

qwen-flash, qwen-flash-2025-07-28

The fastest and most cost-effective model in the Qwen series, suitable for simple jobs.

Type

Time

Deployment scope

Model

Description

Reasoning model

2026-06-18

Japan

qwen3.7-plus, qwen3.7-plus-2026-05-26

The Qwen3.7-Plus series comprehensively upgrades vision-language capabilities on top of strong text abilities, while maintaining full agent capabilities in coding, tool use, and productivity workflows. Its core feature is multimodal interactive hybrid agent capability, enabling perception of real-world scenes, screen reading and GUI operation, code generation from visual references, and end-to-end mobile app navigation.

Reasoning model

2026-06-18

Japan

deepseek-v4-pro, deepseek-v4-flash

DeepSeek-V4 series models hosted by Alibaba Cloud (Beijing region). deepseek-v4-pro is a large-scale MoE model with strong general reasoning capabilities. deepseek-v4-flash is a lightweight and cost-effective model optimized for speed.DeepSeek

Reasoning model

2026-06-18

Global

qwen3.7-plus, qwen3.7-plus-2026-05-26

The Qwen3.7-Plus series comprehensively upgrades vision-language capabilities on top of strong text abilities, while maintaining full agent capabilities in coding, tool use, and productivity workflows. Its core feature is multimodal interactive hybrid agent capability, enabling perception of real-world scenes, screen reading and GUI operation, code generation from visual references, and end-to-end mobile app navigation.

Reasoning model

2026-06-18

Global

qwen3.7-max, qwen3.7-max-2026-05-20

Next-generation flagship model in the Qwen Max series. Text-only input, thinking mode enabled by default, supports explicit cache and Function Calling. This model delivers exceptional performance across programming, office productivity, and long-horizon autonomous task execution.

Reasoning model

2026-06-18

Global

glm-5.1

Zhipu GLM-5.1 model, designed for long-range tasks with 200K context support and up to 128K token output. With powerful logical reasoning, long-text understanding, and code generation capabilities, it achieves excellent results on multiple benchmarks, suitable for intelligent interaction, enterprise applications, and development assistance scenarios.GLM - Alibaba Cloud

Text generation and visual understanding

2026-06-18

Global

kimi-k2.5

A visual understanding model from Moonshot AI that excels in general-purpose intelligent tasks such as code generation and visual understanding. It also supports image, video, and text input, along with dialogue and Agent tasks. Kimi - Alibaba Cloud

Reasoning model

2026-06-18

Global

deepseek-v4-pro, deepseek-v4-flash

DeepSeek-V4 series models hosted by Alibaba Cloud (Beijing region). deepseek-v4-pro is a large-scale MoE model with strong general reasoning capabilities. deepseek-v4-flash is a lightweight and cost-effective model optimized for speed.DeepSeek

Reasoning model

2026-06-18

Global

qwen3.6-plus, qwen3.6-plus-2026-04-02

Qwen3.6-Plus features significant upgrades to its code development capabilities, such as Agentic Coding and frontend programming, and provides a significantly enhanced Vibe Coding experience. Its inference capabilities in generalization scenarios are further enhanced. For multimodal capabilities, its performance in universal object recognition, OCR, and object localization is significantly improved. This version also fixes known issues that were identified after Qwen3.5-Plus was published. The usage method is the same as that of qwen3.5-plus. Overview