Models

Qwen omni model for text, vision, audio, and multimodal agent tasks

2026-09-02 upgraded snapshot of Qwen3.8 Max with stronger coding, collaborative agents, and multimodal document understanding

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

Open-weight Qwen coding model for agents, repository edits, and multi-turn tool use

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 thinking model for visual reasoning, documents, and agent tasks

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

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

Efficient Qwen thinking model for local reasoning, math, and coding agents

Smaller Qwen coder for efficient local agents and repo-level fixes

Qwen coding model for software agents, repository edits, and code reasoning

Hosted Qwen coder for software agents, repo edits, and long-context code

Open Qwen coding heavyweight for repository reasoning and agentic engineering

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

Open coding-focused Qwen model for code generation, repair, and repository reasoning

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

Flagship Qwen model for complex reasoning, coding, and agentic workflows