Models

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

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

Open multimodal Qwen MoE for local agents that need vision, audio, and code

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

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

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

Large open Qwen multimodal MoE for visual agents and long technical tasks

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

Multimodal reasoning model accepting text, images, video, and audio with text output

Multilingual query-document reranking model supporting more than 100 languages

Multilingual text embedding model for retrieval, code search, classification, and clustering