Google: Gemma 4 26B A4B Rank
Gemma 4 26B A4B has an overall score of 67 out of 100, tied for rank 133 of 291. The published scores are price 88, context 53, parameters 35, 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 133 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 90 | AI Release Date | |
| Context | 53 | 262K tokens, output 32.8K | AI Context Window |
| Parameters | 35 | 25.2B total, 3.8B active | AI Parameter Count |
| Price | 88 | $0.123 / 1M blended, $0.082 / 1M input, $0.246 / 1M output | AI Token Price |
132 listed models have a higher overall score. Among Google models, it ranks 14 of 21.
Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...
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Frequently asked questions
What is the Gemma 4 26B A4B rank?
Gemma 4 26B A4B has an overall score of 67 out of 100, tied for rank 133 of 291. The published scores are price 88, context 53, parameters 35, and recency 90. The overall score is their average. freshness is not published and is left out of the average.
Where does Gemma 4 26B A4B rank?
Gemma 4 26B A4B is tied for rank 133 of 291. 132 listed models have a higher overall score. Among Google models, it ranks 14 of 21.
What scores make up Gemma 4 26B A4B?
Gemma 4 26B A4B scores price 88 (AI Token Price), context 53 (AI Context Window), parameters 35 (AI Parameter Count), and recency 90 (AI Release Date). The overall score of 67 is the average of those 4.