Qwen: Qwen3.5-122B-A10B Rank
Qwen3.5-122B-A10B has an overall score of 65 out of 100, tied for rank 149 of 291. The published scores are price 65, context 53, parameters 52, 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 149 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 88 | AI Release Date | |
| Context | 53 | 262K tokens, output 65.5K | AI Context Window |
| Parameters | 52 | 122B total, 10B active | AI Parameter Count |
| Price | 65 | $0.715 / 1M blended, $0.26 / 1M input, $2.08 / 1M output | AI Token Price |
148 listed models have a higher overall score. Among Qwen models, it ranks 17 of 38.
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...
Higher overall scores
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Frequently asked questions
What is the Qwen3.5-122B-A10B rank?
Qwen3.5-122B-A10B has an overall score of 65 out of 100, tied for rank 149 of 291. The published scores are price 65, context 53, parameters 52, and recency 88. The overall score is their average. freshness is not published and is left out of the average.
Where does Qwen3.5-122B-A10B rank?
Qwen3.5-122B-A10B is tied for rank 149 of 291. 148 listed models have a higher overall score. Among Qwen models, it ranks 17 of 38.
What scores make up Qwen3.5-122B-A10B?
Qwen3.5-122B-A10B scores price 65 (AI Token Price), context 53 (AI Context Window), parameters 52 (AI Parameter Count), and recency 88 (AI Release Date). The overall score of 65 is the average of those 4.