Qwen: Qwen3.8 27B Rank
Qwen3.8 27B has an overall score of 68 out of 100, tied for rank 121 of 291. The published scores are price 68, context 71, parameters 36, and recency 96. 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 121 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 96 | AI Release Date | |
| Context | 71 | 1.02M tokens, output 236K | AI Context Window |
| Parameters | 36 | 27B total | AI Parameter Count |
| Price | 68 | $0.581 / 1M blended, $0.15 / 1M input, $1.88 / 1M output | AI Token Price |
120 listed models have a higher overall score. Among Qwen models, it ranks 12 of 38.
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...
Higher overall scores
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Frequently asked questions
What is the Qwen3.8 27B rank?
Qwen3.8 27B has an overall score of 68 out of 100, tied for rank 121 of 291. The published scores are price 68, context 71, parameters 36, and recency 96. The overall score is their average. freshness is not published and is left out of the average.
Where does Qwen3.8 27B rank?
Qwen3.8 27B is tied for rank 121 of 291. 120 listed models have a higher overall score. Among Qwen models, it ranks 12 of 38.
What scores make up Qwen3.8 27B?
Qwen3.8 27B scores price 68 (AI Token Price), context 71 (AI Context Window), parameters 36 (AI Parameter Count), and recency 96 (AI Release Date). The overall score of 68 is the average of those 4.