Qwen: Qwen3.5 397B A17B Rank

Qwen3.5 397B A17B has an overall score of 66 out of 100, tied for rank 140 of 291. The published scores are price 57, context 53, parameters 65, 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

Overall score
66
Rank
140

tied for rank 140 of 291

Component scores

ScoreResultPublished valueSource
Freshness——AI Knowledge Cutoff
Recency88AI Release Date
Context53262K tokens, output 236KAI Context Window
Parameters65397B total, 17B activeAI Parameter Count
Price57$1.27 / 1M blended, $0.5 / 1M input, $3.6 / 1M outputAI Token Price

139 listed models have a higher overall score. Among Qwen models, it ranks 15 of 38.

The Qwen3.5 series 397B-A17B 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. It delivers...

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Frequently asked questions

What is the Qwen3.5 397B A17B rank?

Qwen3.5 397B A17B has an overall score of 66 out of 100, tied for rank 140 of 291. The published scores are price 57, context 53, parameters 65, and recency 88. The overall score is their average. freshness is not published and is left out of the average.

Where does Qwen3.5 397B A17B rank?

Qwen3.5 397B A17B is tied for rank 140 of 291. 139 listed models have a higher overall score. Among Qwen models, it ranks 15 of 38.

What scores make up Qwen3.5 397B A17B?

Qwen3.5 397B A17B scores price 57 (AI Token Price), context 53 (AI Context Window), parameters 65 (AI Parameter Count), and recency 88 (AI Release Date). The overall score of 66 is the average of those 4.