Qwen: Qwen3 235B A22B Thinking 2507
Qwen3 235B A22B Thinking 2507 is a large-scale thinking model with a 262K context window, tool use, and competitive pricing, but lacks benchmark data in this listing, capping its score conservatively. It may suit content and reasoning workflows but cannot be rated highly without verified performance data.
Assessment date: March 12, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144 tokens of context. This "thinking-only" variant enhances structured logical reasoning, mathematics, science, and long-form generation, showing strong benchmark performance across AIME, SuperGPQA, LiveCodeBench, and MMLU-Redux. It enforces a special reasoning mode () and is designed for high-token outputs (up to 81,920 tokens) in challenging domains. The model is instruction-tuned and excels at step-by-step reasoning, tool use, agentic workflows, and multilingual tasks. This release represents the most capable open-source variant in the Qwen3-235B series, surpassing many closed models in structured reasoning use cases.
Capabilities
Architecture
| Modality | Text → Text |
| Tokenizer | Qwen3 |
| Instruct Type | qwen3 |
| Parameters | 235B |
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.11 | $0.000110 |
| Output | $0.60 | $0.000600 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
