Models

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

Multimodal Qwen workhorse for long-context agents, visual inputs, and coding

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

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

Earlier Qwen multimodal workhorse for million-token agent and document 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

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

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

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

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

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

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

Efficient Qwen model for fast chat, extraction, and high-volume workloads

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

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

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