Google: Gemini 3.6 Flash Rank
Gemini 3.6 Flash has an overall score of 73 out of 100, tied for rank 67 of 291. The published scores are price 55, context 71, recency 95, and freshness 70. 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 67 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 70 | AI Knowledge Cutoff | |
| Recency | 95 | 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 |
66 listed models have a higher overall score. Among Google models, it ranks 7 of 21.
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
Higher overall scores
🤖 Generate website with AI 👆
Join the beta waitlist and get 50% off your first 3 months.
Frequently asked questions
What is the Gemini 3.6 Flash rank?
Gemini 3.6 Flash has an overall score of 73 out of 100, tied for rank 67 of 291. The published scores are price 55, context 71, recency 95, and freshness 70. The overall score is their average. parameters is not published and is left out of the average.
Where does Gemini 3.6 Flash rank?
Gemini 3.6 Flash is tied for rank 67 of 291. 66 listed models have a higher overall score. Among Google models, it ranks 7 of 21.
What scores make up Gemini 3.6 Flash?
Gemini 3.6 Flash scores price 55 (AI Token Price), context 71 (AI Context Window), recency 95 (AI Release Date), and freshness 70 (AI Knowledge Cutoff). The overall score of 73 is the average of those 4.