Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 E4B
~47
1/8 categoriesMistral Small 4
~62
Winner · 0/8 categoriesGemma 4 E4B· Mistral Small 4
Pick Mistral Small 4 if you want the stronger benchmark profile. Gemma 4 E4B only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.
Mistral Small 4 is clearly ahead on the aggregate, 62 to 47. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemma 4 E4B 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 E4B.
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 E4B | Mistral Small 4 |
|---|---|---|
| Agentic | ||
| Coming soon | ||
| Coding | ||
| LiveCodeBench | 52% | — |
| HumanEval | — | 84.8% |
| Multimodal & Grounded | ||
| MMMU-Pro | 52.6% | — |
| Reasoning | ||
| BBH | 33.1% | — |
| MRCRv2 | 25.4% | — |
| KnowledgeGemma 4 E4B wins | ||
| GPQA | 58.6% | 45.3% |
| MMLU-Pro | 69.4% | 66.3% |
| Instruction Following | ||
| IFEval | — | 82.9% |
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| Coming soon | ||
Mistral Small 4 is ahead overall, 62 to 47. The biggest single separator in this matchup is GPQA, where the scores are 58.6% and 45.3%.
Gemma 4 E4B has the edge for knowledge tasks in this comparison, averaging 65.6 versus 58.9. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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