International (Singapore)
Type | Listing date | Model | Feature description |
Speech recognition | 2025-12-17 | 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 - Qwen |
Speech recognition | 2025-12-17 | qwen3-asr-flash, qwen3-asr-flash-2025-09-08 | Audio with any sample rate and sound channel is supported. Audio file recognition - Qwen |
Speech recognition | 2025-12-17 | fun-asr-mtl, fun-asr-mtl-2025-08-25 | Support for speech recognition in 31 languages, including Chinese, English, Japanese, and Korean, ideal for Southeast Asia scenarios. Audio file recognition - Fun-ASR/Paraformer |
Voice design | 2025-12-16 | qwen-voice-design | Qwen's' voice design model for generating customized voices from text descriptions. Use this model with qwen3-tts-vd-realtime-2025-12-16 to generate speech in 10 languages. Voice design |
Speech synthesis | 2025-12-16 | qwen3-tts-vd-realtime-2025-12-16 (snapshot) | Qwen's real-time speech synthesis snapshot model that enables low-latency, high-stability real-time synthesis using designed voices, supports multi-language output, automatically adjusts the tone based on the text, and optimizes synthesis performance for complex text. Real-time speech synthesis - Qwen |
Speech recognition | 2025-12-12 | fun-asr, fun-asr-2025-11-07 | Feature updates for Fun-ASR audio file recognition:
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Multimodal | 2025-12-04 | 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. Omni-modal |
Real-time multimodal | 2025-12-04 | 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. Real-time multimodal |
Speech translation | 2025-12-04 | 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 leverages visual context to improve translation accuracy and provides both text and speech output. Audio and video translation - Qwen |
Multilingual translation | 2025-12-02 | qwen-mt-lite | A basic text translation model from Qwen. It supports translation between 31 languages. It offers a faster response time and lower cost than qwen-mt-flash, making it suitable for latency-sensitive scenarios. Translation capabilities (Qwen-MT). |
Voice cloning | 2025-11-27 | qwen-voice-enrollment | Qwen released a voice cloning model. It generates a highly similar voice from just over 5 seconds of audio. When used with the qwen3-tts-vc-realtime-2025-11-27 model, it can create a high-fidelity clone of a person's voice and output it in real time across 11 languages. Voice cloning. |
Speech synthesis | 2025-11-27 | qwen3-tts-vc-realtime-2025-11-27 (snapshot) | Qwen real-time speech synthesis released a new snapshot model. It uses voices generated by Voice cloning for low-latency, high-stability, real-time synthesis. The model supports multilingual output. It automatically adjusts the tone based on the text and improves synthesis performance for complex text. Real-time speech synthesis - Qwen. |
Speech synthesis | 2025-11-27 | qwen3-tts-flash-realtime-2025-11-27 (snapshot) | Qwen real-time speech synthesis released a new snapshot model. It features low latency and high stability. The model offers a richer selection of voices, and each voice supports multilingual output. It automatically adjusts the tone based on the text and enhances synthesis performance for complex text. Real-time speech synthesis - Qwen. |
Speech synthesis | 2025-11-27 | qwen3-tts-flash-2025-11-27 (snapshot) | Qwen speech synthesis released a new snapshot model. It offers a richer selection of voices. Each voice supports multilingual output. The model adaptively adjusts the tone based on the text and has optimized synthesis capabilities for complex text. Speech synthesis - Qwen. |
Text extraction | 2025-11-21 | qwen-vl-ocr-2025-11-20 (snapshot) | 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 |
Speech recognition | 2025-11-20 | qwen3-asr-flash-filetrans, qwen3-asr-flash-filetrans-2025-11-17 (snapshot) | Qwen audio file recognition released a new model. It is designed for asynchronous transcription of audio files and supports recordings up to 12 hours long. Audio file recognition - Qwen. |
Speech recognition | 2025-11-19 | fun-asr-2025-11-07 (snapshot) | Fun-ASR audio file recognition released a new snapshot model. It optimizes far-field voice activity detection (VAD) to improve recognition accuracy and stability. In addition to Chinese and English, the model now supports multiple Chinese dialects and Japanese. Audio file recognition - Fun-ASR/Paraformer. |
Multilingual translation | 2025-11-11 | qwen-mt-flash | Compared to qwen-mt-turbo, this model supports streaming incremental output and offers improved overall performance. Translation capabilities (Qwen-MT). |
Image-to-video | 2025-11-10 | wan2.2-animate-move | This model 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-motion. |
Image-to-video | 2025-11-10 | 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 replacement. |
Reasoning model | 2025-11-03 | qwen3-max-preview | The thinking mode of the qwen3-max-preview model features significantly improved overall inference capabilities. It performs better in agent programming, common-sense reasoning, and tasks related to math, science, and general purposes. Deep thinking. |
Image editing | 2025-10-31 | qwen-image-edit-plus, qwen-image-edit-plus-2025-10-30 | Built on qwen-image-edit, this model has optimized inference performance and system stability. It significantly 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 | qwen3-asr-flash-realtime, qwen3-asr-flash-realtime-2025-10-27 | The Qwen real-time speech recognition model features automatic language detection. It can identify 11 language types and provides accurate transcription in complex audio environments. Real-time speech recognition - Qwen. |
Visual understanding | 2025-10-21 | 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 and object recognition, and visual 2D detection/spatial reasoning. This makes it suitable for complex perception tasks in general scenarios. Visual understanding. |
Visual understanding | 2025-10-16 | qwen3-vl-flash, qwen3-vl-flash-2025-10-15 | A small-scale 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 delivers better performance and a faster response time. Visual understanding. |
Visual understanding | 2025-10-14 | qwen3-vl-8b-thinking, qwen3-vl-8b-instruct | An 8B dense model from the Qwen3-VL series. It uses less GPU memory and can perform multimodal understanding and inference. It supports ultra-long contexts such as long videos and documents, and visual 2D/3D positioning. It also has comprehensive spatial intelligence and object recognition capabilities. Visual understanding. |
Visual understanding | 2025-10-03 | qwen3-vl-30b-a3b-thinking, qwen3-vl-30b-a3b-instruct | Based on the new generation of open-source Qwen3-VL models, this model has a fast response time. It features stronger multimodal understanding and inference, visual agent capabilities, and support for ultra-long contexts such as long videos and documents. It also has comprehensively upgraded spatial intelligence and object recognition capabilities, making it suitable for complex real-world tasks. Visual understanding. |
Visual understanding | 2025-09-23 | 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. Its visual perception and recognition capabilities are also significantly improved. Visual understanding. |
Text-to-image | 2025-09-23 | qwen-image-plus | This model excels at complex text rendering, especially for Chinese and English text. It can create complex mixed layouts of images and text and is more cost-effective than qwen-image. Text-to-image (Qwen-Image). |
Code model | 2025-09-23 | qwen3-coder-plus-2025-09-23 | Compared to the previous version (snapshot from July 22), this model has improved performance on downstream tasks and greater robustness in tool calling. It also features enhanced code security. Code capabilities (Qwen-Coder). |
Reasoning model | 2025-09-11 | 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 summary responses in thinking mode. Deep thinking. In non-thinking mode, its Chinese understanding and logical reasoning abilities are enhanced. Overview of text generation models. |
Reasoning model | 2025-09-11 | qwen3-next-80b-a3b-thinking, qwen3-next-80b-a3b-instruct | A new generation of open-source models based on Qwen3. Compared to qwen3-235b-a22b-thinking-2507, the thinking model has improved instruction following capabilities and provides more concise summary responses. Deep thinking. Compared to qwen3-235b-a22b-instruct-2507, the instruct model has enhanced Chinese understanding, logical reasoning, and text generation capabilities. Overview of text generation models. |
Text-to-text | 2025-09-05 | qwen3-max-preview | A preview version of the Qwen-Max model based on Qwen3. Compared to the Qwen 2.5 series, its overall general capabilities are greatly improved. It has significantly enhanced abilities in general text understanding in both Chinese and English, complex instruction following, subjective open-ended tasks, multilingual tasks, and tool calling. The model also has fewer knowledge hallucinations. Qwen-Max. |
Image editing | 2025-08-19 | qwen-image-edit | Qwen image editing supports precise text editing in both Chinese and English, rendering intent, 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 | qwen-vl-plus-2025-08-15 | A visual understanding model. It has significantly improved capabilities in object recognition and localization, and multilingual processing. Visual understanding. |
Text-to-image | 2025-08-14 | qwen-image | The Qwen-Image model excels at complex text rendering, especially for Chinese and English text. It can create complex mixed layouts of images and text. Text-to-image (Qwen-Image). |
Visual understanding | 2025-08-13 | 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. Visual understanding. |
Code model | 2025-08-05 | 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 | qwen-flash, qwen-flash-2025-07-28 | The fastest and most cost-effective model in the Qwen series, suitable for simple jobs. Model List. |
Reasoning model | 2025-07-30 | 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 of text generation models. |
Reasoning model | 2025-07-30 | qwen3-30b-a3b-thinking-2507 qwen3-30b-a3b-instruct-2507 | An upgraded version of qwen3-30b-a3b. The thinking model has improved logical, general, knowledge-enhanced, and creative capabilities. Deep thinking. The instruct model has improved creative capabilities and model security. Overview of text generation models. |
Image-to-video | 2025-07-28 | wan2.2-i2v-plus | Compared to the 2.1 model, this new version has significantly improved image detail and motion stability. The generation speed is increased by 50%. First-frame-to-video. |
Text-to-video | 2025-07-28 | wan2.2-t2v-plus | Compared to the 2.1 model, this new version has significantly improved image detail and motion stability. The generation speed is increased by 50%. Text-to-video. |
Text-to-image | 2025-07-28 | wan2.2-t2i-flash, wan2.2-t2i-plus | Compared to the 2.1 model, this new version is comprehensively upgraded in creativity, stability, and photorealism. The generation speed is increased by 50%. Text-to-image. |
Reasoning model | 2025-07-24 | qwen3-235b-a22b-thinking-2507, qwen3-235b-a22b-instruct-2507 | An upgraded version of qwen3-235b-a22b. The thinking model has greatly improved logical, general, knowledge-enhanced, and creative capabilities, making it suitable for high-difficulty, strong-inference scenarios. Deep thinking. The instruct model has improved creative capabilities and model security. Overview of text generation models. |
Code model | 2025-07-23 | qwen3-coder, qwen3-coder-plus-2025-07-22 | A code generation model based on Qwen3. It has powerful 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 | qwen-vl-plus-2025-05-07 | A visual understanding model. The model has significantly improved capabilities in math, reasoning, and understanding content from monitoring videos. Visual understanding. |
Text-to-image | 2025-05-22 | wan2.1-t2i-turbo, wan2.1-t2i-plus | Generates an image from a single sentence. The model supports generating images of any resolution and aspect ratio, up to 2 million pixels. It is available in a turbo version and a professional edition (plus). Text-to-image. |
Visual understanding | 2025-05-16 | qwen-vl-max-2025-04-08 | A visual understanding model. It has improved math and reasoning abilities. The response style is adjusted to align with human preferences, and the detail and format clarity of model responses are significantly improved. Visual understanding. |
Visual understanding | 2025-05-16 | qwen-vl-plus-2025-01-25 | A visual understanding model. It belongs to the Qwen2.5-VL series. Compared to the previous version, it expands the context to 128k, significantly enhancing image and video understanding capabilities. |
Video editing | 2025-05-19 | wan2.1-vace-plus | A general-purpose video editing model. The model has multimodal input capabilities, combining images, videos, and text prompts. It can perform various tasks such as image-to-video (generating a video based on the subject or background of a reference image) and video repainting (extracting motion features from an input video to generate a new video). General-purpose video editing. |
Reasoning model | 2025-04-28 | Qwen3 commercial models qwen-plus-2025-04-28, qwen-turbo-2025-04-28 Qwen3 open-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 both thinking and non-thinking modes. Switch between the two modes using the
For more information about thinking mode, see Deep thinking. For more information about non-thinking mode, see Overview of text generation models. |
Text-to-video | 2025-04-21 | wan2.1-t2v-turbo, wan2.1-t2v-plus |
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Image-to-video | 2025-04-21 | wan2.1-kf2v-plus, wan2.1-i2v-turbo, wan2.1-i2v-plus, |
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Visual reasoning | 2025-03-28 | 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 | qwen2.5-omni-7b | A new omni-modal understanding and generation model from Qwen. It supports text, image, speech, and video input, and outputs text and audio. It provides two natural conversational voices. Omni-modal. |
Visual understanding | 2025-03-24 | qwen2.5-vl-32b-instruct | A visual understanding model. Its ability to solve math problems is close to the level of Qwen2.5VL-72B. The response style is greatly adjusted to align with human preferences. For objective questions such as math, logical reasoning, and knowledge Q&A pairs, the detail and format clarity of model responses are significantly improved. Visual understanding. |
Reasoning model | 2025-03-06 | qwq-plus | A QwQ reasoning model trained on the Qwen2.5 model. It greatly improves the model's 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 | qwen2.5-vl-3b-instruct qwen2.5-vl-7b-instruct qwen2.5-vl-72b-instruct |
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Text-to-text | 2025-01-27 | qwen-max-2025-01-25 qwen2.5-14b-instruct-1m qwen2.5-7b-instruct-1m |
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Text-to-text | 2025-01-17 | qwen-plus-2025-01-12 |
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Multilingual translation | 2024-12-25 | qwen-mt-plus qwen-mt-turbo |
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Visual understanding | 2024-12-18 | qwen2-vl-72b-instruct |
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China (Beijing)
Type | Listing date | Models | Description |
Speech recognition | 2025-12-17 | 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 - Qwen |
Speech recognition | 2025-12-17 | qwen3-asr-flash, qwen3-asr-flash-2025-09-08 | Audio with any sample rate and sound channel is supported. Audio file recognition - Qwen |
Speech recognition | 2025-12-17 | fun-asr-mtl, fun-asr-mtl-2025-08-25 | Support for speech recognition in 31 languages, including Chinese, English, Japanese, and Korean, ideal for Southeast Asia scenarios. Audio file recognition - Fun-ASR/Paraformer |
Voice design | 2025-12-16 | qwen-voice-design | Qwen's' voice design model for generating customized voices from text descriptions. Use this model with qwen3-tts-vd-realtime-2025-12-16 to generate speech in 10 languages. Voice design |
Speech synthesis | 2025-12-16 | qwen3-tts-vd-realtime-2025-12-16 (snapshot) | Qwen's real-time speech synthesis snapshot model that enables low-latency, high-stability real-time synthesis using designed voices, supports multi-language output, automatically adjusts the tone based on the text, and optimizes synthesis performance for complex text. Real-time speech synthesis - Qwen |
Image editing | 2025-12-15 | qwen-image-edit-plus-2025-12-15 | The latest snapshot of for Qwen-Image-Editing improves on the previous version, offering enhanced role consistency, industrial design capabilities, and geometric inference. It also optimizes the alignment between the edited and original images in terms of spatial layout, texture, and style, which produces more precise edits. Image editing - Qwen |
Speech recognition | 2025-12-12 | fun-asr, fun-asr-2025-11-07 | Feature updates for Fun-ASR audio file recognition:
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语音合成 | 2025-12-11 | cosyvoice-v3-flash, cosyvoice-v3-plus |
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Multimodal | 2025-12-04 | 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. Omni-modal |
Real-time multimodal | 2025-12-04 | 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. Real-time multimodal |
Speech translation | 2025-12-04 | 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 leverages visual context to improve translation accuracy and provides both text and speech output. Audio and video translation - Qwen |
Reasoning model | 2025-12-04 | 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. |
Multilingual translation | 2025-12-02 | qwen-mt-lite | The Qwen basic text translation model can translate between 31 languages. This model delivers faster responses at a lower cost than qwen-mt-flash, making it a suitable choice for latency-sensitive scenarios. Machine translation (Qwen-MT) |
Voice cloning | 2025-11-27 | qwen-voice-enrollment | Qwen released a voice cloning model. It can quickly generate a voice with high similarity from an audio clip of 5 seconds or more. Use this model with qwen3-tts-vc-realtime-2025-11-27 to clone a person's voice with high fidelity and output it in real time across 11 languages. Voice cloning. |
Speech synthesis | 2025-11-27 | qwen3-tts-vc-realtime-2025-11-27 (snapshot) | Qwen real-time speech synthesis released a new snapshot model. It can use voices generated by Voice cloning for low-latency, high-stability, real-time synthesis. It supports multilingual output, automatically adjusts tone based on the text, and improves synthesis for complex text. Real-time speech synthesis - Qwen. |
Speech synthesis | 2025-11-27 | qwen3-tts-flash-realtime-2025-11-27 (snapshot) | Qwen real-time speech synthesis released a new snapshot model. It offers low latency and high stability. It provides more voice options, and a single voice can support multilingual output. The model automatically adjusts tone based on the text and improves synthesis for complex text. Real-time speech synthesis - Qwen. |
Speech synthesis | 2025-11-27 | qwen3-tts-flash-2025-11-27 (snapshot) | Qwen speech synthesis released a new snapshot model. It offers more voice options, and a single voice can support multilingual output. The model can adapt its tone to the text and improves synthesis for complex text. Speech synthesis - Qwen. |
Text extraction | 2025-11-21 | qwen-vl-ocr-2025-11-20 (snapshot) | 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 |
Speech recognition | 2025-11-20 | qwen3-asr-flash-filetrans, qwen3-asr-flash-filetrans-2025-11-17 (snapshot) | Qwen audio file transcription released a new model. It is designed for asynchronous transcription of audio files and supports recordings up to 12 hours long. Audio file transcription - Qwen. |
Speech synthesis | 2025-11-19 | cosyvoice-v3-flash | This version improves pronunciation accuracy and voice similarity compared to previous versions. It also adds support for more languages, including German, Spanish, French, Italian, and Russian. Real-time speech synthesis - CosyVoice/Sambert. |
Inference model | 2025-11-11 | kimi-k2-thinking | A thinking model from Moonshot AI. It has general agent and reasoning capabilities. It excels at deep reasoning and can solve complex problems through multi-step tool calling. Kimi. |
Multilingual translation | 2025-11-10 | qwen-mt-flash | Compared to qwen-mt-turbo, this model supports streaming incremental output and has improved overall performance. Translation capabilities (Qwen-MT). |
Image-to-video | 2025-11-04 | 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 swap. Wan - Video character replacement. |
Inference model | 2025-11-03 | qwen3-max-preview | The thinking mode of the qwen3-max-preview model. It shows significant improvements in overall reasoning capabilities, especially in agent programming, common-sense reasoning, and tasks related to math, science, and general knowledge. Deep thinking. |
Image-to-video | 2025-11-03 | 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 | qwen-image-edit-plus, qwen-image-edit-plus-2025-10-30 | This model optimizes the inference performance and system stability of qwen-image-edit. 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 | qwen3-asr-flash-realtime, qwen3-asr-flash-realtime-2025-10-27 | The Qwen real-time speech recognition large model features automatic language detection. It can recognize 11 language types and transcribe audio accurately in complex environments. Real-time speech recognition - Qwen. |
Visual understanding | 2025-10-21 | 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. Visual understanding. |
Visual understanding | 2025-10-16 | 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 offers better performance and faster response speeds. Visual understanding. |
Visual understanding | 2025-10-14 | 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 documents, 2D/3D visual positioning, and comprehensive spatial intelligence and object recognition. Visual understanding. |
Visual understanding | 2025-10-03 | qwen3-vl-30b-a3b-thinking, qwen3-vl-30b-a3b-instruct | Based on the new generation of open-source Qwen3-VL models, 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. Visual understanding. |
Inference model | 2025-09-30 | deepseek-v3.2-exp | A hybrid inference architecture model that supports both thinking and non-thinking modes. It introduces a sparse attention mechanism to improve training and inference efficiency for long texts. It is priced lower than deepseek-v3.1. DeepSeek. |
Text-to-image | 2025-09-23 | 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 | 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 world-class. This version features comprehensive upgrades in visual encoding, spatial intelligence, and multimodal thinking. Its visual perception and recognition capabilities are significantly improved. Visual understanding. |
Code model | 2025-09-23 | qwen3-coder-plus-2025-09-23 | Compared to the previous version (July 22 snapshot), it offers improved robustness in downstream tasks and tool calling, along with enhanced code security. Code capabilities (Qwen-Coder). |
Inference model | 2025-09-11 | qwen-plus-2025-09-11 | This model is part of the Qwen3 series. Compared to qwen-plus-2025-07-28, it has improved instruction-following capabilities and provides more concise summaries in thinking mode. Deep thinking. In non-thinking mode, its Chinese understanding and logical reasoning abilities are enhanced. Overview of text generation models. |
Inference model | 2025-09-11 | qwen3-next-80b-a3b-thinking, qwen3-next-80b-a3b-instruct | A new generation of open-source models based on Qwen3. The thinking model has improved instruction-following capabilities and provides more concise summaries compared to qwen3-235b-a22b-thinking-2507. Deep thinking. The instruct model has enhanced Chinese understanding, logical reasoning, and text generation capabilities compared to qwen3-235b-a22b-instruct-2507. Overview of text generation models. |
Text generation | 2025-09-05 | qwen3-max-preview | The Qwen-Max model (preview version) based on Qwen3. It offers a significant improvement in overall general capabilities compared to the Qwen 2.5 series. It has notably 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. Qwen-Max. |
Text, image, video, voice, etc. | 2025-08-05 | This is the first release in the Beijing region. |