Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 E4B
~47
0/8 categoriesMistral Small 4 (Reasoning)
~64
Winner · 3/8 categoriesGemma 4 E4B· Mistral Small 4 (Reasoning)
Pick Mistral Small 4 (Reasoning) if you want the stronger benchmark profile. Gemma 4 E4B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Mistral Small 4 (Reasoning) is clearly ahead on the aggregate, 64 to 47. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Mistral Small 4 (Reasoning)'s sharpest advantage is in coding, where it averages 63.6 against 52. The single biggest benchmark swing on the page is GPQA, 58.6% to 71.2%.
Mistral Small 4 (Reasoning) 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 (Reasoning) |
|---|---|---|
| Agentic | ||
| Coming soon | ||
| CodingMistral Small 4 (Reasoning) wins | ||
| LiveCodeBench | 52% | 63.6% |
| Multimodal & GroundedMistral Small 4 (Reasoning) wins | ||
| MMMU-Pro | 52.6% | 60% |
| Reasoning | ||
| BBH | 33.1% | — |
| MRCRv2 | 25.4% | — |
| KnowledgeMistral Small 4 (Reasoning) wins | ||
| GPQA | 58.6% | 71.2% |
| MMLU-Pro | 69.4% | 78% |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| AIME 2025 | — | 83.8% |
Mistral Small 4 (Reasoning) is ahead overall, 64 to 47. The biggest single separator in this matchup is GPQA, where the scores are 58.6% and 71.2%.
Mistral Small 4 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 75.6 versus 65.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Mistral Small 4 (Reasoning) has the edge for coding in this comparison, averaging 63.6 versus 52. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Mistral Small 4 (Reasoning) has the edge for multimodal and grounded tasks in this comparison, averaging 60 versus 52.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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