Models

High-throughput edition of Qwen3.8 Max for coding, professional work, multimodal understanding, and long-running agent workflows

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

Open-weight experimental preview of the Qwen4 architecture: hybrid-attention MoE (125B total, 6B active) with vision encoder for coding, agent tasks, and image and video 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

Preview Qwen flagship for million-token multimodal reasoning and long-horizon agentic workflows

Lightweight multimodal Qwen model for high-throughput text, image, and video tasks

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

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

Earlier Qwen multimodal workhorse for million-token agent and document tasks

Compact Qwen3.5 multimodal model for fast chat, reasoning, and tool use

Small Qwen3.5 multimodal model for low-cost chat, reasoning, and tool use

Smallest Qwen3.5 multimodal model for on-device 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 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

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

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 model for visual reasoning, documents, and agent tasks

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

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

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

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

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

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

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

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

Updated large open Qwen3 MoE thinking model for reasoning, math, coding, and tool use

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

Dense 8B Qwen3 model with switchable thinking for chat, reasoning, and tool use

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

Large open Qwen MoE for multilingual reasoning, coding, and tool use

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