Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 E2B
~39
0/8 categoriesMistral Small 4 (Reasoning)
~64
Winner · 3/8 categoriesGemma 4 E2B· Mistral Small 4 (Reasoning)
Pick Mistral Small 4 (Reasoning) if you want the stronger benchmark profile. Gemma 4 E2B 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 39. 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 knowledge, where it averages 75.6 against 54.1. The single biggest benchmark swing on the page is GPQA, 43.4% to 71.2%.
Mistral Small 4 (Reasoning) 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 (Reasoning) |
|---|---|---|
| Agentic | ||
| Coming soon | ||
| CodingMistral Small 4 (Reasoning) wins | ||
| LiveCodeBench | 44% | 63.6% |
| Multimodal & GroundedMistral Small 4 (Reasoning) wins | ||
| MMMU-Pro | 44.2% | 60% |
| Reasoning | ||
| BBH | 21.9% | — |
| MRCRv2 | 19.1% | — |
| KnowledgeMistral Small 4 (Reasoning) wins | ||
| GPQA | 43.4% | 71.2% |
| MMLU-Pro | 60% | 78% |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| AIME 2025 | — | 83.8% |
Mistral Small 4 (Reasoning) is ahead overall, 64 to 39. The biggest single separator in this matchup is GPQA, where the scores are 43.4% and 71.2%.
Mistral Small 4 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 75.6 versus 54.1. 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 44. 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 44.2. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.