Qwen: Qwen3 VL 30B A3B Thinking Rank

Qwen3 VL 30B A3B Thinking has an overall score of 59 out of 100, tied for rank 217 of 291. The published scores are price 71, context 53, parameters 37, 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
59
Rank
217

tied for rank 217 of 291

Component scores

ScoreResultPublished valueSource
Freshness73AI Knowledge Cutoff
Recency——AI Release Date
Context53262K tokens, output 236KAI Context Window
Parameters3730B total, 3B activeAI Parameter Count
Price71$0.467 / 1M blended, $0.29 / 1M input, $1 / 1M outputAI Token Price

216 listed models have a higher overall score. Among Qwen models, it ranks 31 of 38.

Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM, math, and complex tasks. It excels...

All Qwen modelsBest modelsHow the score is calculated

🤖 Generate website with AI 👆

Join the beta waitlist and get 50% off your first 3 months.

Join waitlist

Frequently asked questions

What is the Qwen3 VL 30B A3B Thinking rank?

Qwen3 VL 30B A3B Thinking has an overall score of 59 out of 100, tied for rank 217 of 291. The published scores are price 71, context 53, parameters 37, and freshness 73. The overall score is their average. recency is not published and is left out of the average.

Where does Qwen3 VL 30B A3B Thinking rank?

Qwen3 VL 30B A3B Thinking is tied for rank 217 of 291. 216 listed models have a higher overall score. Among Qwen models, it ranks 31 of 38.

What scores make up Qwen3 VL 30B A3B Thinking?

Qwen3 VL 30B A3B Thinking scores price 71 (AI Token Price), context 53 (AI Context Window), parameters 37 (AI Parameter Count), and freshness 73 (AI Knowledge Cutoff). The overall score of 59 is the average of those 4.