Qwen: Qwen3 VL 235B A22B Instruct Rank

Qwen3 VL 235B A22B Instruct has an overall score of 63 out of 100, tied for rank 176 of 291. The published scores are price 67, context 53, parameters 59, and freshness 73. The overall score is their average. recency 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
63
Rank
176

tied for rank 176 of 291

Component scores

ScoreResultPublished valueSource
Freshness73AI Knowledge Cutoff
Recency——AI Release Date
Context53262K tokens, output 32.8KAI Context Window
Parameters59235B total, 22B activeAI Parameter Count
Price67$0.632 / 1M blended, $0.21 / 1M input, $1.9 / 1M outputAI Token Price

175 listed models have a higher overall score. Among Qwen models, it ranks 21 of 38.

Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table...

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Frequently asked questions

What is the Qwen3 VL 235B A22B Instruct rank?

Qwen3 VL 235B A22B Instruct has an overall score of 63 out of 100, tied for rank 176 of 291. The published scores are price 67, context 53, parameters 59, and freshness 73. The overall score is their average. recency is not published and is left out of the average.

Where does Qwen3 VL 235B A22B Instruct rank?

Qwen3 VL 235B A22B Instruct is tied for rank 176 of 291. 175 listed models have a higher overall score. Among Qwen models, it ranks 21 of 38.

What scores make up Qwen3 VL 235B A22B Instruct?

Qwen3 VL 235B A22B Instruct scores price 67 (AI Token Price), context 53 (AI Context Window), parameters 59 (AI Parameter Count), and freshness 73 (AI Knowledge Cutoff). The overall score of 63 is the average of those 4.