Google: Gemini 3.8 Flash Rank
Gemini 3.8 Flash has an overall score of 78 out of 100, tied for rank 28 of 291. The published scores are price 54, context 71, recency 97, 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 | 97 | AI Release Date | |
| Context | 71 | 1.05M tokens, output 65.5K | AI Context Window |
| Parameters | — | — | AI Parameter Count |
| Price | 54 | $1.65 / 1M blended, $0.825 / 1M input, $4.13 / 1M output | AI Token Price |
27 listed models have a higher overall score. Among Google models, it ranks 1 of 21.
Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
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Frequently asked questions
What is the Gemini 3.8 Flash rank?
Gemini 3.8 Flash has an overall score of 78 out of 100, tied for rank 28 of 291. The published scores are price 54, context 71, recency 97, and freshness 90. The overall score is their average. parameters is not published and is left out of the average.
Where does Gemini 3.8 Flash rank?
Gemini 3.8 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 3.8 Flash?
Gemini 3.8 Flash scores price 54 (AI Token Price), context 71 (AI Context Window), recency 97 (AI Release Date), and freshness 90 (AI Knowledge Cutoff). The overall score of 78 is the average of those 4.