Qwen3-235B-A22B-Thinking-2507

In the 2507 update, developers discontinued the hybrid mode, introducing two highly optimized versions of the flagship Qwen3-235B-A22B model. Qwen3-235B-A22B-Thinking-2507 is the dedicated Thinking version, featuring doubled reasoning length and significantly enhanced chain-of-thought algorithms. The model's architecture remains unchanged—it is still a Mixture-of-Experts (MoE) model with 235 billion total parameters and 128 experts, of which only 22 billion parameters and 8 experts are activated per token, ensuring computational efficiency while preserving the knowledge capacity of the full 235-billion-parameter system. Additionally, developers have implemented native support for a context length of 262,144 tokens, unlocking new possibilities for analyzing lengthy documents, codebases, and performing multi-step reasoning. Alongside the main version, an FP8-quantized model has also been released.

Evaluating the capabilities of Qwen3-235B-A22B-Thinking-2507, it demonstrates phenomenal performance improvements on benchmarks, particularly in agent-based tasks, where it achieves gains of up to 108% on TAU2-Telecom, 93% on TAU2-Airline, and 78% on TAU2-Retail compared to the previous version. In mathematical competitions, the model reaches 92.3% on AIME25, trailing only OpenAI's o4-mini (92.7%), while outperforming all others on HMMT25 with a score of 83.9%. In programming, the model sets new standards with a 74.1% score on LiveCodeBench v6. Similarly, in scientific reasoning, it achieves 81.1% on GPQA, surpassing Claude Opus 4 Thinking's 79.6%.

Qwen3-235B-A22B-Thinking-2507 is ideally suited for solving complex tasks requiring deep analysis: mathematical proofs and Olympiad-level problems, development of sophisticated algorithms and architectural designs, scientific research and data analysis, legal analysis and document drafting—along with many other applications where the emphasis is not on response speed, but on accuracy and logical coherence.

Announce Date: 25.07.2025
Parameters: 235B
Experts: 128
Activated at inference: 22B
Context: 263K
Layers: 94
Attention Type: Full or Sliding Window Attention
Developer: Qwen
Transformers Version: 4.51.0
License: Apache 2.0

Use our pre-built public endpoints for free to test inference and explore Qwen3-235B-A22B-Thinking-2507 capabilities. You can obtain an API access token on the token management page after registration and verification.

An endpoint is a server with pre-installed software that automatically downloads neural network weights and launches an OpenAI-compatible API to handle incoming requests.

A private endpoint is created within the user's project, belongs exclusively to the user, and is billed per server configuration in accordance with the infrastructure pricing.

We recommend creating private endpoints when you need to:

• achieve maximum endpoint performance,
• access the full context window for processing large requests and conversations,
• ensure maximum security by processing data in a dedicated, isolated environment.

Contact our dedicated neural networks support team at support@immers.cloud or send your request to the sales department at sale@immers.cloud.