Google: Gemma 4 31B Rank
Gemma 4 31B has an overall score of 65 out of 100, tied for rank 149 of 291. The published scores are price 79, context 53, parameters 37, and recency 90. The overall score is their average. freshness 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 149 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 90 | AI Release Date | |
| Context | 53 | 262K tokens, output 16.4K | AI Context Window |
| Parameters | 37 | 31B total | AI Parameter Count |
| Price | 79 | $0.25 / 1M blended, $0.2 / 1M input, $0.4 / 1M output | AI Token Price |
148 listed models have a higher overall score. Among Google models, it ranks 15 of 21.
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...
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Frequently asked questions
What is the Gemma 4 31B rank?
Gemma 4 31B has an overall score of 65 out of 100, tied for rank 149 of 291. The published scores are price 79, context 53, parameters 37, and recency 90. The overall score is their average. freshness is not published and is left out of the average.
Where does Gemma 4 31B rank?
Gemma 4 31B is tied for rank 149 of 291. 148 listed models have a higher overall score. Among Google models, it ranks 15 of 21.
What scores make up Gemma 4 31B?
Gemma 4 31B scores price 79 (AI Token Price), context 53 (AI Context Window), parameters 37 (AI Parameter Count), and recency 90 (AI Release Date). The overall score of 65 is the average of those 4.