Qwen: Qwen3 235B A22B Thinking 2507 Rank
Qwen3 235B A22B Thinking 2507 has an overall score of 60 out of 100, tied for rank 207 of 291. The published scores are price 58, context 44, parameters 59, and freshness 77. The overall score is their average. recency is not published and is left out of the average.
Data sourced from OpenRouter API and manual data collection | Last updated: Nov 3, 2026, 8:01 AM UTC
Component scores are ranked in
tied for rank 207 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 77 | AI Knowledge Cutoff | |
| Recency | — | — | AI Release Date |
| Context | 44 | 128K tokens, output 16.4K | AI Context Window |
| Parameters | 59 | 235B total, 22B active | AI Parameter Count |
| Price | 58 | $1.21 / 1M blended, $0.45 / 1M input, $3.5 / 1M output | AI Token Price |
206 listed models have a higher overall score. Among Qwen models, it ranks 27 of 38.
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...
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Frequently asked questions
What is the Qwen3 235B A22B Thinking 2507 rank?
Qwen3 235B A22B Thinking 2507 has an overall score of 60 out of 100, tied for rank 207 of 291. The published scores are price 58, context 44, parameters 59, and freshness 77. The overall score is their average. recency is not published and is left out of the average.
Where does Qwen3 235B A22B Thinking 2507 rank?
Qwen3 235B A22B Thinking 2507 is tied for rank 207 of 291. 206 listed models have a higher overall score. Among Qwen models, it ranks 27 of 38.
What scores make up Qwen3 235B A22B Thinking 2507?
Qwen3 235B A22B Thinking 2507 scores price 58 (AI Token Price), context 44 (AI Context Window), parameters 59 (AI Parameter Count), and freshness 77 (AI Knowledge Cutoff). The overall score of 60 is the average of those 4.