Qwen3-235B-A22B-Thinking-2507

In plain words

Qwen3-235B-A22B-Thinking-2507 is an open-source mixture-of-experts model designed for complex reasoning tasks. The model uses 22 billion active parameters and handles a 256K token context window, making it suitable for lengthy document analysis and multi-step problem-solving. It is available through Hugging Face and via API for developers and organizations building AI applications that require advanced reasoning capabilities.

written from the facts on this page · September 2026

From the sources

Qwen3-235B-A22B-Thinking-2507 is a powerful open-source MoE model (22B active) built for deep reasoning. It achieves SOTA results on agentic tasks, supports a 256K context, and is available on Hugging Face and via API.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Over the past three months, we have continued to scale the thinking capability of Qwen3-235B-A22B, improving both the quality and depth of reasoning. We are pleased to introduce Qwen3-235B-A22B-Thinking-2507 , featuring the following key enhancements: NOTE : This version has an increased thinking length. We strongly recommend its use in highly complex reasoning tasks. Additionally, to enforce model thinking, the default chat template automatically includes <think> . Therefore, it is normal for the model's output to contain only </think> without an explicit opening <think> tag. For more details, including benchmark evaluation, hardware requirements, and inference performance, please refer to…from huggingface.co

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