Qwen: Qwen3.5-9B Rank
Qwen3.5-9B has an overall score of 62 out of 100, tied for rank 185 of 291. The published scores are price 82, context 53, parameters 24, and recency 89. 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 185 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 89 | AI Release Date | |
| Context | 53 | 262K tokens, output 236K | AI Context Window |
| Parameters | 24 | 9B total | AI Parameter Count |
| Price | 82 | $0.19 / 1M blended, $0.17 / 1M input, $0.25 / 1M output | AI Token Price |
184 listed models have a higher overall score. Among Qwen models, it ranks 23 of 38.
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...
Higher overall scores
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Frequently asked questions
What is the Qwen3.5-9B rank?
Qwen3.5-9B has an overall score of 62 out of 100, tied for rank 185 of 291. The published scores are price 82, context 53, parameters 24, and recency 89. The overall score is their average. freshness is not published and is left out of the average.
Where does Qwen3.5-9B rank?
Qwen3.5-9B is tied for rank 185 of 291. 184 listed models have a higher overall score. Among Qwen models, it ranks 23 of 38.
What scores make up Qwen3.5-9B?
Qwen3.5-9B scores price 82 (AI Token Price), context 53 (AI Context Window), parameters 24 (AI Parameter Count), and recency 89 (AI Release Date). The overall score of 62 is the average of those 4.