Google: Gemini 3.5 Flash Rank
Gemini 3.5 Flash has an overall score of 69 out of 100, tied for rank 106 of 291. The published scores are price 45, context 71, recency 92, and freshness 69. 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 106 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 69 | AI Knowledge Cutoff | |
| Recency | 92 | AI Release Date | |
| Context | 71 | 1.05M tokens, output 65.5K | AI Context Window |
| Parameters | — | — | AI Parameter Count |
| Price | 45 | $3.38 / 1M blended, $1.5 / 1M input, $9 / 1M output | AI Token Price |
105 listed models have a higher overall score. Among Google models, it ranks 10 of 21.
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...
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Frequently asked questions
What is the Gemini 3.5 Flash rank?
Gemini 3.5 Flash has an overall score of 69 out of 100, tied for rank 106 of 291. The published scores are price 45, context 71, recency 92, and freshness 69. The overall score is their average. parameters is not published and is left out of the average.
Where does Gemini 3.5 Flash rank?
Gemini 3.5 Flash is tied for rank 106 of 291. 105 listed models have a higher overall score. Among Google models, it ranks 10 of 21.
What scores make up Gemini 3.5 Flash?
Gemini 3.5 Flash scores price 45 (AI Token Price), context 71 (AI Context Window), recency 92 (AI Release Date), and freshness 69 (AI Knowledge Cutoff). The overall score of 69 is the average of those 4.