Qwen: Qwen3.5-27B Rank
Qwen3.5-27B has an overall score of 60 out of 100, tied for rank 207 of 291. The published scores are price 63, context 53, parameters 36, and recency 88. The overall score is their average. freshness 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 | — | — | AI Knowledge Cutoff |
| Recency | 88 | AI Release Date | |
| Context | 53 | 262K tokens, output 81.9K | AI Context Window |
| Parameters | 36 | 27B total | AI Parameter Count |
| Price | 63 | $0.845 / 1M blended, $0.26 / 1M input, $2.6 / 1M output | AI Token Price |
206 listed models have a higher overall score. Among Qwen models, it ranks 27 of 38.
The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...
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Frequently asked questions
What is the Qwen3.5-27B rank?
Qwen3.5-27B has an overall score of 60 out of 100, tied for rank 207 of 291. The published scores are price 63, context 53, parameters 36, and recency 88. The overall score is their average. freshness is not published and is left out of the average.
Where does Qwen3.5-27B rank?
Qwen3.5-27B 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 Qwen3.5-27B?
Qwen3.5-27B scores price 63 (AI Token Price), context 53 (AI Context Window), parameters 36 (AI Parameter Count), and recency 88 (AI Release Date). The overall score of 60 is the average of those 4.