Google: Gemini 3.7 Flash Rank
Gemini 3.7 Flash has an overall score of 78 out of 100, tied for rank 28 of 291. The published scores are price 55, context 71, recency 96, and freshness 90. The overall score is their average. parameters 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 28 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 90 | AI Knowledge Cutoff | |
| Recency | 96 | AI Release Date | |
| Context | 71 | 1.05M tokens, output 65.5K | AI Context Window |
| Parameters | — | — | AI Parameter Count |
| Price | 55 | $1.5 / 1M blended, $0.75 / 1M input, $3.75 / 1M output | AI Token Price |
27 listed models have a higher overall score. Among Google models, it ranks 1 of 21.
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...
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Frequently asked questions
What is the Gemini 3.7 Flash rank?
Gemini 3.7 Flash has an overall score of 78 out of 100, tied for rank 28 of 291. The published scores are price 55, context 71, recency 96, and freshness 90. The overall score is their average. parameters is not published and is left out of the average.
Where does Gemini 3.7 Flash rank?
Gemini 3.7 Flash is tied for rank 28 of 291. 27 listed models have a higher overall score. Among Google models, it ranks 1 of 21.
What scores make up Gemini 3.7 Flash?
Gemini 3.7 Flash scores price 55 (AI Token Price), context 71 (AI Context Window), recency 96 (AI Release Date), and freshness 90 (AI Knowledge Cutoff). The overall score of 78 is the average of those 4.