Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 E2B
~39
0/8 categoriesMiMo-V2-Omni
~75
Winner · 2/8 categoriesGemma 4 E2B· MiMo-V2-Omni
Pick MiMo-V2-Omni 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-Omni is clearly ahead on the aggregate, 75 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2-Omni's sharpest advantage is in multimodal & grounded, where it averages 76.8 against 44.2. The single biggest benchmark swing on the page is MMMU-Pro, 44.2% to 76.8%.
MiMo-V2-Omni gives you the larger context window at 262K, 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-Omni |
|---|---|---|
| Agentic | ||
| Claw-Eval | — | 56.7% |
| CodingMiMo-V2-Omni wins | ||
| LiveCodeBench | 44% | — |
| SWE-bench Verified | — | 74.8% |
| Multimodal & GroundedMiMo-V2-Omni wins | ||
| MMMU-Pro | 44.2% | 76.8% |
| Reasoning | ||
| BBH | 21.9% | — |
| MRCRv2 | 19.1% | — |
| Knowledge | ||
| GPQA | 43.4% | — |
| MMLU-Pro | 60% | — |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| Coming soon | ||
MiMo-V2-Omni is ahead overall, 75 to 39. The biggest single separator in this matchup is MMMU-Pro, where the scores are 44.2% and 76.8%.
MiMo-V2-Omni has the edge for coding in this comparison, averaging 74.8 versus 44. Gemma 4 E2B stays close enough that the answer can still flip depending on your workload.
MiMo-V2-Omni has the edge for multimodal and grounded tasks in this comparison, averaging 76.8 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.