Alibaba AI Models

Qwen3.7 Plus

Qwen

Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series.

Qwen3.7 Plus

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.7 Max

Qwen

Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series.

Qwen3.7 Max

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.5 Plus

Qwen

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

Qwen3.6 Flash

Qwen

Qwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series.

Qwen3.6 35B A3B

Qwen

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.

Qwen3.6 Max Preview

Qwen

Qwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse mixture-of-experts architecture with approximately 1 trillion total parameters.

Qwen3.6 27B

Qwen

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

Qwen3.6 27B (Reasoning)

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.6 27B (Non-reasoning)

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.6 Max Preview

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.6 35B A3B (Reasoning)

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.6 35B A3B (Non-reasoning)

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.6 Plus

Qwen

Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference.

Qwen3.6 Plus

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.5 Omni Plus

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.5 Omni Flash

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.5-9B

Qwen

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

Qwen3.5 9B (Reasoning)

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.5 9B (Non-reasoning)

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.5 4B (Reasoning)

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.5 4B (Non-reasoning)

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.5 2B (Reasoning)

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.5 2B (Non-reasoning)

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.5 0.8B (Reasoning)

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.5 0.8B (Non-reasoning)

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.5-35B-A3B

Qwen

The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency.

Qwen3.5-27B

Qwen

The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance.

Qwen3.5-122B-A10B

Qwen

The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency.

Qwen3.5-Flash

Qwen

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency.

Qwen3.5 27B (Reasoning)

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.5 122B A10B (Reasoning)

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.5 27B (Non-reasoning)

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.5 35B A3B (Reasoning)

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.5 122B A10B (Non-reasoning)

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.5 35B A3B (Non-reasoning)

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.5 397B A17B

Qwen

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency.

Qwen3.5 397B A17B (Reasoning)

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3.5 397B A17B (Non-reasoning)

Alibaba

A powerful AI model for general-purpose tasks.

Qwen3 Max Thinking

Qwen

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

Qwen3 Coder Next

Qwen

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

Qwen3 VL 32B Instruct

Qwen

Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video.

Qwen3 VL 8B Thinking

Qwen

Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences.

Qwen3 VL 8B Instruct

Qwen

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.

Qwen3 VL 30B A3B Thinking

Qwen

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

Qwen3 VL 30B A3B Instruct

Qwen

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

Qwen3 VL 235B A22B Thinking

Qwen

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

Qwen3 VL 235B A22B Instruct

Qwen

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

Qwen3 Max

Qwen

Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and long-tail knowledge coverage compared to the January 2025 version.

Qwen3 Coder Plus

Qwen

Qwen3 Coder Plus is Alibaba's proprietary version of the Open Source Qwen3 Coder 480B A35B.

Qwen3 Coder Flash

Qwen

Qwen3 Coder Flash is Alibaba's fast and cost efficient version of their proprietary Qwen3 Coder Plus.

Qwen3 Next 80B A3B Thinking

Qwen

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

Qwen3 Next 80B A3B Instruct

Qwen

Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces.

Plus 0728

Qwen

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.

Qwen3 30B A3B Thinking 2507

Qwen

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

Qwen3 Coder 30B A3B Instruct

Qwen

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.

Qwen3 30B A3B Instruct 2507

Qwen

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

Qwen3 235B A22B Thinking 2507

Qwen

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

Qwen3 Coder 480B A35B

Qwen

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

Qwen3 235B A22B Instruct 2507

Qwen

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.

Qwen3 30B A3B

Qwen

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.

Qwen3 8B

Qwen

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

Qwen3 14B

Qwen

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

Qwen3 32B

Qwen

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

Qwen3 235B A22B

Qwen

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

Qwen2.5 VL 72B Instruct

Qwen

Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects.

Qwen2.5 Coder 32B Instruct

Qwen

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen).

Qwen2.5 7B Instruct

Qwen

Qwen2.5 7B is the latest series of Qwen large language models.

Qwen2.5 72B Instruct

Qwen

Qwen2.5 72B is the latest series of Qwen large language models.