Gemma 3n E2B Instruct is a Google Gemma open-model profile, aimed at developers who want deployable Google-developed models rather than hosted Gemini-only access. The benchmark data is especially useful for comparing its efficiency and capability against similarly sized open and open-weight alternatives.
Introducing GemmaQueryable facts extracted from the upstream model payload.
Rank #6 across 293 models.
Rank #499 across 500 models.
Rank #470 across 478 models.
Rank #390 across 410 models.
Percentile score by analysis domain.
Higher bars mean stronger relative placement.
| Metric | Domain | Value | Rank |
|---|---|---|---|
| Artificial Analysis Intelligence Index | overall | 4.8 | #499 |
| Artificial Analysis Coding Index | coding | 2.2 | #390 |
| Artificial Analysis Math Index | math | 10.3 | #232 |
| MMLU-Pro | reasoning | 37.8% | #323 |
| reasoning |
| 22.9% |
| #470 |
| Humanity's Last Exam | reasoning | 4.0% | #405 |
| LiveCodeBench | coding | 9.5% | #320 |
| SciCode | coding, reasoning | 5.2% | #444 |
| MATH-500 | math | 69.1% | #147 |
| AIME | math | 9.0% | #141 |
| Output Speed | speed | 58.7 tok/s | #197 |
| Time to First Token | speed | 0.31s | #6 |