Qwen: Qwen3.5-35B-A3B Rank

Qwen3.5-35B-A3B has an overall score of 64 out of 100, tied for rank 161 of 291. The published scores are price 74, context 53, parameters 39, 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
64
Rank
161

tied for rank 161 of 291

Component scores

ScoreResultPublished valueSource
Freshness——AI Knowledge Cutoff
Recency88AI Release Date
Context53262K tokens, output 81.9KAI Context Window
Parameters3935B total, 3B activeAI Parameter Count
Price74$0.355 / 1M blended, $0.14 / 1M input, $1 / 1M outputAI Token Price

160 listed models have a higher overall score. Among Qwen models, it ranks 19 of 38.

The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall...

All Qwen modelsBest modelsHow the score is calculated

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Frequently asked questions

What is the Qwen3.5-35B-A3B rank?

Qwen3.5-35B-A3B has an overall score of 64 out of 100, tied for rank 161 of 291. The published scores are price 74, context 53, parameters 39, and recency 88. The overall score is their average. freshness is not published and is left out of the average.

Where does Qwen3.5-35B-A3B rank?

Qwen3.5-35B-A3B is tied for rank 161 of 291. 160 listed models have a higher overall score. Among Qwen models, it ranks 19 of 38.

What scores make up Qwen3.5-35B-A3B?

Qwen3.5-35B-A3B scores price 74 (AI Token Price), context 53 (AI Context Window), parameters 39 (AI Parameter Count), and recency 88 (AI Release Date). The overall score of 64 is the average of those 4.