Qwen models

Qwen2.5 7B Instruct Turbo

qwen2.5-7b-instruct

Qwen2.5 7B is the latest series of Qwen large language models. 32,768 token context window, maximum output of 32,768 tokens.

33K ctx

Qwen2.5 VL 72B Instruct

qwen2.5-vl-72b-instruct

Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. 128,000 token context window.

32K ctx

Qwen3 14B

qwen3-14b

Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient…

41K ctx

Qwen3 235B A22B

qwen3-235b-a22b

Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass.

131K ctx

Qwen3 235B A22B Instruct 2507

qwen3-235b-a22b-2507

Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture…

262K ctx

Qwen3 235B A22B Thinking 2507

qwen3-235b-a22b-thinking-2507

Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning…

131K ctx

Qwen3 30B A3B

qwen3-30b-a3b

Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to…

41K ctx

Qwen3 30B A3B Instruct 2507

qwen3-30b-a3b-instruct-2507

Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference.

262K ctx

Qwen3 30B A3B Thinking 2507

qwen3-30b-a3b-thinking-2507

Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step…

131K ctx

Qwen3 32B

qwen3-32b

Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient…

41K ctx

Qwen3.5-122B-A10B

qwen3.5-122b-a10b

The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a…

262K ctx

Qwen3.5-27B

qwen3.5-27b

The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while…

262K ctx

Qwen3.5-35B-A3B

qwen3.5-35b-a3b

The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention…

262K ctx

Qwen3.5 397B A17B

qwen3.5-397b-a17b

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism…

262K ctx

Qwen3.5-9B

qwen3.5-9b

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding…

262K ctx

Qwen3.5 Plus 2026-02-15

qwen3.5-plus-02-15

The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with…

1M ctx

Qwen3.5 Plus 2026-04-20

qwen3.5-plus-20260420

Qwen3.5 Plus (April 2026) is a large-scale multimodal language model from Alibaba.

1M ctx

Qwen3.6 27B

qwen3.6-27b

Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026.

262K ctx

Qwen3.6 35B A3B

qwen3.6-35b-a3b

Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per…

262K ctx

Qwen3.6 Max Preview

qwen3.6-max-preview

Qwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse mixture-of-experts architecture with approximately…

262K ctx

Qwen3.6 Plus

qwen3.6-plus

Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling…

1M ctx

Qwen3.7 Flash

qwen3.7-flash

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. 1,000,000 token context window, maximum output of 65,536 tokens.

1M ctx

Qwen3.8 2.4T A95B

qwen3.8-2.4t-a95b

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, with 95 billion…

262K ctx

Qwen3.8 27B

qwen3.8-27b

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. 262,144 token context window, maximum output of 131,072 tokens.

262K ctx

Qwen3 8B

qwen3-8b

Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient…

41K ctx

Qwen3.8 Flash

qwen3.8-flash

Qwen3.8 Flash is a multimodal reasoning model from Alibaba. 1,000,000 token context window, maximum output of 131,072 tokens.

1M ctx

Qwen3.8 Max (0902)

qwen3.8-max-0902

Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team.

1M ctx

Qwen3 Coder 30B A3B Instruct

qwen3-coder-30b-a3b-instruct

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…

160K ctx

Qwen3 Coder 480B A35B

qwen3-coder

Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team.

262K ctx

Qwen3 Coder Next

qwen3-coder-next

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows.

262K ctx

Qwen3 Max Thinking

qwen3-max-thinking

Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep…

262K ctx

Qwen3 Next 80B A3B Instruct

qwen3-next-80b-a3b-instruct

Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without…

262K ctx

Qwen3 Next 80B A3B Thinking

qwen3-next-80b-a3b-thinking

Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default.

131K ctx

Qwen3 VL 235B A22B Instruct

qwen3-vl-235b-a22b-instruct

Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images…

262K ctx

Qwen3 VL 235B A22B Thinking

qwen3-vl-235b-a22b-thinking

Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video.

131K ctx

Qwen3 VL 30B A3B Instruct

qwen3-vl-30b-a3b-instruct

Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos.

131K ctx

Qwen3 VL 30B A3B Thinking

qwen3-vl-30b-a3b-thinking

Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos.

131K ctx

Qwen3 VL 32B Instruct

qwen3-vl-32b-instruct

Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across…

131K ctx

Qwen3 VL 8B Instruct

qwen3-vl-8b-instruct

Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning…

131K ctx

Qwen3 VL 8B Thinking

qwen3-vl-8b-thinking

Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual…

131K ctx

Qwen Image

qwen/qwen-image

Qwen Image open source model - fast, highly capable image generation model from Alibaba Qwen

Qwen Image Edit Plus

qwen/qwen-image-edit-plus

The latest Qwen-Image’s iteration with improved multi-image editing, single-image consistency, and native support for ControlNet

Qwen Plus 0728

qwen-plus-2025-07-28

Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and…

1M ctx