Gemma 3n E4B 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 #1 across 325 models.
Rank #3 across 325 models.
Rank #3 across 325 models.
Rank #292 across 293 models.
Rank #488 across 500 models.
Rank #444 across 478 models.
Percentile score by analysis domain.
* Cost is inverted: lower input, output, and blended prices rank higher.
Higher bars mean stronger relative placement.
| Metric | Domain | Value | Rank |
|---|---|---|---|
| Artificial Analysis Intelligence Index | overall | 6.4 | #488 |
| Artificial Analysis Coding Index | coding | 4.2 | #371 |
| Artificial Analysis Math Index | math | 14.3 | #220 |
| MMLU-Pro | reasoning | 48.8% | #297 |
| reasoning |
| 29.6% |
| #444 |
| Humanity's Last Exam | reasoning | 4.4% | #359 |
| LiveCodeBench | coding | 14.6% | #292 |
| SciCode | coding, reasoning | 8.1% | #431 |
| MATH-500 | math | 77.1% | #119 |
| AIME | math | 13.7% | #115 |
| Output Speed | speed | 15.3 tok/s | #292 |
| Time to First Token | speed | 0.34s | #10 |
| Blended Price | cost | $0.025/M | #3 |
| Input Price | cost | $0.020/M | #3 |
| Output Price | cost | $0.040/M | #1 |
| Value Index | cost, overall | 256.0 | #12 |