Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code generation, repository-scale understanding, and agentic tool use. Built on the...
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...
Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over...
Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over...
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...
Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique...
Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
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...
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.
Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**...
Qwen2.5 7B 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...
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...
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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...
Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max Preview. It is a multimodal reasoning model intended for complex reasoning, visual understanding,...
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| Qwen: Qwen3 30B A3B Thinking 2507qwen/qwen3-30b-a3b-thinking-2507 | Alibaba Qwen |
81.92K | $0.2 | $2.4 | — | ||
| Qwen: Qwen3 Coder 30B A3B Instructqwen/qwen3-coder-30b-a3b-instruct | Alibaba Qwen |
262.144K | $0.07 | $0.28 | — | ||
| Qwen: Qwen3 30B A3B Instruct 2507qwen/qwen3-30b-a3b-instruct-2507 | Alibaba Qwen |
262.144K | $0.09 | $0.3 | — | ||
| Qwen: Qwen3 235B A22B Thinking 2507qwen/qwen3-235b-a22b-thinking-2507 | Alibaba Qwen |
128K | $0.45 | $3.5 | — | ||
| Qwen: Qwen3 Coder 480B A35B (free)qwen/qwen3-coder:free | Alibaba Qwen |
262K | Free | Free | — | ||
| Qwen: Qwen3 Coder 480B A35Bqwen/qwen3-coder | Alibaba Qwen |
262.144K | $0.3 | $1 | — | ||
| Qwen: Qwen3 235B A22B Instruct 2507qwen/qwen3-235b-a22b-2507 | Alibaba Qwen |
262.144K | $0.09 | $0.55 | — | ||
| Qwen: Qwen3 30B A3Bqwen/qwen3-30b-a3b | Alibaba Qwen |
40.96K | $0.12 | $0.5 | — | ||
| Qwen: Qwen3 8Bqwen/qwen3-8b | Alibaba Qwen |
131.072K | $0.117 | $0.455 | — | ||
| Qwen: Qwen3 14Bqwen/qwen3-14b | Alibaba Qwen |
40.96K | $0.12 | $0.24 | — | ||
| Qwen: Qwen3 32Bqwen/qwen3-32b | Alibaba Qwen |
40.96K | $0.08 | $0.28 | — | ||
| Qwen: Qwen3 235B A22Bqwen/qwen3-235b-a22b | Alibaba Qwen |
131.072K | $0.455 | $1.82 | — | ||
| Qwen: Qwen2.5 VL 72B Instructqwen/qwen2.5-vl-72b-instruct | Alibaba Qwen |
128K | $0.8 | $1 | — | ||
| Qwen: Qwen-Plusqwen/qwen-plus | Alibaba Qwen |
1M | $0.26 | $0.78 | — | ||
| Qwen2.5 Coder 32B Instructqwen/qwen-2.5-coder-32b-instruct | Alibaba Qwen |
32.768K | $0.66 | $1 | — | ||
| Qwen: Qwen2.5 7B Instructqwen/qwen-2.5-7b-instruct | Alibaba Qwen |
32.768K | $0.1 | $0.2 | — | ||
| Qwen2.5 72B Instructqwen/qwen-2.5-72b-instruct | Alibaba Qwen |
32.768K | $0.36 | $0.4 | — | ||
| Qwen/Qwen-Image-BenchQwen/Qwen-Image-Bench | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/WebWorld-14BQwen/WebWorld-14B | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/WebWorld-32BQwen/WebWorld-32B | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen/WebWorld-8BQwen/WebWorld-8B | Alibaba Qwen |
Not documented | — | — | — | ||
| 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/Qwen3.5-0.8BQwen/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/Qwen-Image-2512Qwen/Qwen-Image-2512 | Alibaba Qwen |
Not documented | — | — | — | ||
| 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: Qwen3.7 Flashqwen/qwen3.7-flash | Alibaba Qwen |
1M | $0.03 | $0.13 | — | ||
| Qwen: Qwen3.8 Maxqwen/qwen3.8-max | Alibaba Qwen |
1M | $2 | $6 | — |