Qwen: Qwen3 235B A22B Instruct 2507 Rank
Qwen3 235B A22B Instruct 2507 has an overall score of 66 out of 100, tied for rank 140 of 291. The published scores are price 76, context 53, 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 140 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 77 | AI Knowledge Cutoff | |
| Recency | — | — | AI Release Date |
| Context | 53 | 262K tokens, output 118K | AI Context Window |
| Parameters | 59 | 235B total, 22B active | AI Parameter Count |
| Price | 76 | $0.305 / 1M blended, $0.14 / 1M input, $0.8 / 1M output | AI Token Price |
139 listed models have a higher overall score. Among Qwen models, it ranks 15 of 38.
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...
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Frequently asked questions
What is the Qwen3 235B A22B Instruct 2507 rank?
Qwen3 235B A22B Instruct 2507 has an overall score of 66 out of 100, tied for rank 140 of 291. The published scores are price 76, context 53, 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 Instruct 2507 rank?
Qwen3 235B A22B Instruct 2507 is tied for rank 140 of 291. 139 listed models have a higher overall score. Among Qwen models, it ranks 15 of 38.
What scores make up Qwen3 235B A22B Instruct 2507?
Qwen3 235B A22B Instruct 2507 scores price 76 (AI Token Price), context 53 (AI Context Window), parameters 59 (AI Parameter Count), and freshness 77 (AI Knowledge Cutoff). The overall score of 66 is the average of those 4.