Qwen: Qwen3 235B A22B Thinking 2507
Review
Qwen3 235B A22B Thinking 2507 is a reasoning-focused variant with tool use and function calling, but without published benchmark data its performance advantage over the standard Instruct version cannot be confirmed.
Assessment date: April 4, 2026
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Performance Profile
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..
Capabilities
Architecture
| Modality | Text → Text |
| Tokenizer | Qwen3 |
| Instruct Type | qwen3 |
| Parameters | 235B |
How does Qwen: Qwen3 235B A22B Thinking 2507 stack up?
Compare side-by-side with other legacy models.
Model Information
| OpenRouter ID |
qwen/qwen3-235b-a22b-thinking-2507
|
| Provider | qwen |
| Release Date | July 25, 2025 |
| Context Length | 131,072 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.15 | $0.000150 |
| Output | $1.50 | $0.001495 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
Leaderboard Categories
External Resources
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Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 15, 2026 8:53 pm