Google: Gemma 3 4B Rank
Gemma 3 4B has an overall score of 55 out of 100, tied for rank 241 of 291. The published scores are price 97, context 44, parameters 15, and freshness 63. 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 241 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 63 | AI Knowledge Cutoff | |
| Recency | — | — | AI Release Date |
| Context | 44 | 131K tokens, output 16.4K | AI Context Window |
| Parameters | 15 | 4B total | AI Parameter Count |
| Price | 97 | $0.0625 / 1M blended, $0.05 / 1M input, $0.1 / 1M output | AI Token Price |
240 listed models have a higher overall score. Among Google models, it ranks 20 of 21.
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...
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Frequently asked questions
What is the Gemma 3 4B rank?
Gemma 3 4B has an overall score of 55 out of 100, tied for rank 241 of 291. The published scores are price 97, context 44, parameters 15, and freshness 63. The overall score is their average. recency is not published and is left out of the average.
Where does Gemma 3 4B rank?
Gemma 3 4B is tied for rank 241 of 291. 240 listed models have a higher overall score. Among Google models, it ranks 20 of 21.
What scores make up Gemma 3 4B?
Gemma 3 4B scores price 97 (AI Token Price), context 44 (AI Context Window), parameters 15 (AI Parameter Count), and freshness 63 (AI Knowledge Cutoff). The overall score of 55 is the average of those 4.