Google: Gemma 2 27B Rank
Gemma 2 27B has an overall score of 43 out of 100, tied for rank 284 of 291. The published scores are price 66, context 9, parameters 36, and freshness 60. 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
Component scores are ranked in
tied for rank 284 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 60 | AI Knowledge Cutoff | |
| Recency | — | — | AI Release Date |
| Context | 9 | 8.2K tokens, output 2K | AI Context Window |
| Parameters | 36 | 27B total | AI Parameter Count |
| Price | 66 | $0.65 / 1M blended, $0.65 / 1M input, $0.65 / 1M output | AI Token Price |
283 listed models have a higher overall score. Among Google models, it ranks 21 of 21.
Gemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini). Gemma models are well-suited for a variety of...
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 Gemma 2 27B rank?
Gemma 2 27B has an overall score of 43 out of 100, tied for rank 284 of 291. The published scores are price 66, context 9, parameters 36, and freshness 60. The overall score is their average. recency is not published and is left out of the average.
Where does Gemma 2 27B rank?
Gemma 2 27B is tied for rank 284 of 291. 283 listed models have a higher overall score. Among Google models, it ranks 21 of 21.
What scores make up Gemma 2 27B?
Gemma 2 27B scores price 66 (AI Token Price), context 9 (AI Context Window), parameters 36 (AI Parameter Count), and freshness 60 (AI Knowledge Cutoff). The overall score of 43 is the average of those 4.