Models

Qwen vision-language model for visual reasoning, documents, and agent tasks

Dense 27B vision-language model for coding, agent tasks, and image and video understanding

Open-weight sparse MoE (2.4T total, 95B active), the open-weight twin of Qwen3.8 Max for coding, research, complex reasoning, and agentic workflows

2.4-trillion-parameter MoE flagship for coding, professional work, multimodal understanding, and long-horizon agentic workflows

Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks

Qwen vision-language model for visual reasoning, documents, and agent tasks

Qwen vision-language model for visual reasoning, documents, and agent tasks

Qwen instruction model for multilingual chat, reasoning, and tool use

Qwen vision-language model for visual reasoning, documents, and agent tasks

Open vision-language MoE model for image and video understanding, documents, and visual agents

Flagship Qwen3 model for coding agents, complex reasoning, and tool use

Qwen vision-language instruct model for visual reasoning, documents, and agent tasks

Qwen instruction model for multilingual chat, reasoning, and tool use

Updated large open Qwen3 MoE instruct model for multilingual chat, coding, and tool use

Dense open Qwen model for self-hosted chat, reasoning, and coding

Sparse MoE Qwen model with 3B active parameters for efficient chat and reasoning