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Model catalog
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...
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Qwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window. Tiered pricing kicks in...
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Qwen3.8 Max (0803) is the August 3, 2026 checkpoint of Qwen3.8 Max, the flagship model in Alibaba's Qwen3.8 series and the general-availability successor to the Qwen3.8 Max Preview. It is...
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...
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Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.
Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table...
Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.
Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. It’s designed for hard multi-step problems; math proofs, code synthesis/debugging, logic, and agentic...
Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math....
Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a "thinking" mode for complex reasoning, math, and...
Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...
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Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text...
Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.
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Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking. The model is designed specifically for “thinking mode,” where internal reasoning traces are separated...
Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world...
Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...
Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon...
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...
Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated...
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| Qwen/Qwen3.5-397B-A17BQwen/Qwen3.5-397B-A17B | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3.5-122B-A10BQwen/Qwen3.5-122B-A10B | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3.5-27BQwen/Qwen3.5-27B | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3.6-35B-A3BQwen/Qwen3.6-35B-A3B | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3.6-27BQwen/Qwen3.6-27B | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3.5-35B-A3BQwen/Qwen3.5-35B-A3B | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3.5-9B-BaseQwen/Qwen3.5-9B-Base | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3.5-35B-A3B-BaseQwen/Qwen3.5-35B-A3B-Base | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3.5-0.8B-BaseQwen/Qwen3.5-0.8B-Base | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3.5-2B-BaseQwen/Qwen3.5-2B-Base | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3.5-4B-BaseQwen/Qwen3.5-4B-Base | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen: Qwen3.8 2.4T A95B (batch)qwen/qwen3.8-2.4t-a95b:batch | Alibaba Qwen |
1.01M | $2 | $6 | — | ||
| Qwen/Qwen3.5-0.8BQwen/Qwen3.5-0.8B | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3.5-2BQwen/Qwen3.5-2B | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3.5-4BQwen/Qwen3.5-4B | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3.5-9BQwen/Qwen3.5-9B | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3-Coder-NextQwen/Qwen3-Coder-Next | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3-Coder-Next-BaseQwen/Qwen3-Coder-Next-Base | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen: Qwen3.6 Flashqwen/qwen3.6-flash | Alibaba Qwen |
1M | $0.188 | $1.125 | — | ||
| Qwen/Qwen3-Coder-30B-A3B-InstructQwen/Qwen3-Coder-30B-A3B-Instruct | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3-VL-235B-A22B-InstructQwen/Qwen3-VL-235B-A22B-Instruct | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3-VL-235B-A22B-ThinkingQwen/Qwen3-VL-235B-A22B-Thinking | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3-VL-8B-ThinkingQwen/Qwen3-VL-8B-Thinking | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3-VL-30B-A3B-InstructQwen/Qwen3-VL-30B-A3B-Instruct | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3-VL-30B-A3B-ThinkingQwen/Qwen3-VL-30B-A3B-Thinking | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3Guard-Gen-8BQwen/Qwen3Guard-Gen-8B | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3Guard-Gen-0.6BQwen/Qwen3Guard-Gen-0.6B | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3Guard-Gen-4BQwen/Qwen3Guard-Gen-4B | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/Qwen3.8-Flash-NextQwen/Qwen3.8-Flash-Next | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen: Qwen3.8 Max (0803)qwen/qwen3.8-max | Alibaba Qwen |
1M | $2 | $6 | — | ||
| Qwen: Qwen3.8 27Bqwen/qwen3.8-27b | Alibaba Qwen |
1M | $0.42 | $3 | — | ||
| Qwen/Qwen3.8-2.4T-A95BQwen/Qwen3.8-2.4T-A95B | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen: Qwen-Plusqwen/qwen-plus | Alibaba Qwen |
1M | $0.26 | $0.78 | — | ||
| Qwen: Qwen2.5 VL 72B Instructqwen/qwen2.5-vl-72b-instruct | Alibaba Qwen |
128K | $0.8 | $1 | — | ||
| Qwen: Qwen3 VL 235B A22B Instructqwen/qwen3-vl-235b-a22b-instruct | Alibaba Qwen |
131.072K | $0.21 | $1.9 | — | ||
| Qwen: Qwen3.8 Flashqwen/qwen3.8-flash | Alibaba Qwen |
1M | $0.15 | $0.47 | — | ||
| Qwen: Qwen3 Next 80B A3B Thinkingqwen/qwen3-next-80b-a3b-thinking | Alibaba Qwen |
262.144K | $0.15 | $1.2 | — | ||
| Qwen: Qwen3 VL 235B A22B Thinkingqwen/qwen3-vl-235b-a22b-thinking | Alibaba Qwen |
131.072K | $0.4 | $4 | — | ||
| Qwen: Qwen3 235B A22Bqwen/qwen3-235b-a22b | Alibaba Qwen |
131.072K | $0.455 | $1.82 | — | ||
| Qwen: Qwen3.8 2.4T A95Bqwen/qwen3.8-2.4t-a95b | Alibaba Qwen |
1M | $2 | $6 | — | ||
| Qwen/Qwen-Drive-1.0-4BQwen/Qwen-Drive-1.0-4B | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen: Qwen3 VL 32B Instructqwen/qwen3-vl-32b-instruct | Alibaba Qwen |
131.072K | $0.104 | $0.416 | — | ||
| Qwen: Qwen Plus 0728qwen/qwen-plus-2025-07-28 | Alibaba Qwen |
1M | $0.26 | $0.78 | — | ||
| Qwen/Qwen-Image-2512Qwen/Qwen-Image-2512 | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen: Qwen3 30B A3B Thinking 2507qwen/qwen3-30b-a3b-thinking-2507 | Alibaba Qwen |
81.92K | $0.2 | $2.4 | — | ||
| Qwen: Qwen3.7 Flashqwen/qwen3.7-flash | Alibaba Qwen |
1M | $0.03 | $0.13 | — | ||
| Qwen2.5 72B Instructqwen/qwen-2.5-72b-instruct | Alibaba Qwen |
32.768K | $0.36 | $0.4 | — | ||
| Qwen: Qwen3 VL 8B Instructqwen/qwen3-vl-8b-instruct | Alibaba Qwen |
131.072K | $0.117 | $0.455 | — | ||
| Qwen: Qwen3.7 Maxqwen/qwen3.7-max | Alibaba Qwen |
1M | $1.475 | $4.425 | — | ||
| Qwen: Qwen3.6 35B A3Bqwen/qwen3.6-35b-a3b | Alibaba Qwen |
262.144K | $0.1 | $0.9 | — |