Qwen: Qwen3 30B A3B Instruct 2507 Rank
Qwen3 30B A3B Instruct 2507 has an overall score of 63 out of 100, tied for rank 176 of 291. The published scores are price 86, context 53, parameters 37, 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 176 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 77 | AI Knowledge Cutoff | |
| Recency | — | — | AI Release Date |
| Context | 53 | 262K tokens, output 236K | AI Context Window |
| Parameters | 37 | 30.5B total, 3.3B active | AI Parameter Count |
| Price | 86 | $0.15 / 1M blended, $0.1 / 1M input, $0.3 / 1M output | AI Token Price |
175 listed models have a higher overall score. Among Qwen models, it ranks 21 of 38.
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...
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Frequently asked questions
What is the Qwen3 30B A3B Instruct 2507 rank?
Qwen3 30B A3B Instruct 2507 has an overall score of 63 out of 100, tied for rank 176 of 291. The published scores are price 86, context 53, parameters 37, and freshness 77. The overall score is their average. recency is not published and is left out of the average.
Where does Qwen3 30B A3B Instruct 2507 rank?
Qwen3 30B A3B Instruct 2507 is tied for rank 176 of 291. 175 listed models have a higher overall score. Among Qwen models, it ranks 21 of 38.
What scores make up Qwen3 30B A3B Instruct 2507?
Qwen3 30B A3B Instruct 2507 scores price 86 (AI Token Price), context 53 (AI Context Window), parameters 37 (AI Parameter Count), and freshness 77 (AI Knowledge Cutoff). The overall score of 63 is the average of those 4.