Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 E2B
~39
0/8 categoriesMiMo-V2-Pro
~85
Winner · 2/8 categoriesGemma 4 E2B· MiMo-V2-Pro
Pick MiMo-V2-Pro 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.
MiMo-V2-Pro is clearly ahead on the aggregate, 85 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2-Pro's sharpest advantage is in coding, where it averages 78 against 44. The single biggest benchmark swing on the page is GPQA, 43.4% to 87%.
MiMo-V2-Pro gives you the larger context window at 1M, 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 | MiMo-V2-Pro |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 86.7% |
| Claw-Eval | — | 61.5% |
| CodingMiMo-V2-Pro wins | ||
| LiveCodeBench | 44% | — |
| SWE-bench Verified | — | 78% |
| Multimodal & Grounded | ||
| MMMU-Pro | 44.2% | — |
| Reasoning | ||
| BBH | 21.9% | — |
| MRCRv2 | 19.1% | — |
| KnowledgeMiMo-V2-Pro wins | ||
| GPQA | 43.4% | 87% |
| MMLU-Pro | 60% | — |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| Coming soon | ||
MiMo-V2-Pro is ahead overall, 85 to 39. The biggest single separator in this matchup is GPQA, where the scores are 43.4% and 87%.
MiMo-V2-Pro has the edge for knowledge tasks in this comparison, averaging 87 versus 54.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
MiMo-V2-Pro has the edge for coding in this comparison, averaging 78 versus 44. Gemma 4 E2B stays close enough that the answer can still flip depending on your workload.
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