Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 E2B
~39
0/8 categoriesMistral Small 4
~62
Winner · 1/8 categoriesGemma 4 E2B· Mistral Small 4
Pick Mistral Small 4 if you want the stronger benchmark profile. Gemma 4 E2B only becomes the better choice if you want the stronger reasoning-first profile.
Mistral Small 4 is clearly ahead on the aggregate, 62 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Mistral Small 4's sharpest advantage is in knowledge, where it averages 58.9 against 54.1. The single biggest benchmark swing on the page is MMLU-Pro, 60% to 66.3%.
Gemma 4 E2B is the reasoning model in the pair, while Mistral Small 4 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Mistral Small 4 gives you the larger context window at 256K, compared with 128K for Gemma 4 E2B.
BenchLM keeps the benchmark table and the operator tradeoffs on the same page so a better score does not hide a materially slower, pricier, or smaller-context model.
Runtime metrics show N/A when BenchLM does not have a sourced snapshot for that exact model. The scoring rules and freshness policy are documented on the methodology page.
| Benchmark | Gemma 4 E2B | Mistral Small 4 |
|---|---|---|
| Agentic | ||
| Coming soon | ||
| Coding | ||
| LiveCodeBench | 44% | — |
| HumanEval | — | 84.8% |
| Multimodal & Grounded | ||
| MMMU-Pro | 44.2% | — |
| Reasoning | ||
| BBH | 21.9% | — |
| MRCRv2 | 19.1% | — |
| KnowledgeMistral Small 4 wins | ||
| GPQA | 43.4% | 45.3% |
| MMLU-Pro | 60% | 66.3% |
| Instruction Following | ||
| IFEval | — | 82.9% |
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| Coming soon | ||
Mistral Small 4 is ahead overall, 62 to 39. The biggest single separator in this matchup is MMLU-Pro, where the scores are 60% and 66.3%.
Mistral Small 4 has the edge for knowledge tasks in this comparison, averaging 58.9 versus 54.1. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
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