Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 26B A4B
64
1/8 categoriesMiMo-V2-Omni
~75
Winner · 1/8 categoriesGemma 4 26B A4B· MiMo-V2-Omni
Pick MiMo-V2-Omni if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if coding is the priority.
MiMo-V2-Omni is clearly ahead on the aggregate, 75 to 64. 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 73.8. The single biggest benchmark swing on the page is MMMU-Pro, 73.8% to 76.8%. Gemma 4 26B A4B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
MiMo-V2-Omni gives you the larger context window at 262K, compared with 256K for Gemma 4 26B A4B.
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 26B A4B | MiMo-V2-Omni |
|---|---|---|
| Agentic | ||
| Claw-Eval | — | 56.7% |
| CodingGemma 4 26B A4B wins | ||
| LiveCodeBench | 77.1% | — |
| SWE-bench Verified | — | 74.8% |
| Multimodal & GroundedMiMo-V2-Omni wins | ||
| MMMU-Pro | 73.8% | 76.8% |
| Reasoning | ||
| BBH | 64.8% | — |
| MRCRv2 | 44.1% | — |
| Knowledge | ||
| GPQA | 82.3% | — |
| MMLU-Pro | 82.6% | — |
| HLE | 17.2% | — |
| HLE w/o tools | 8.7% | — |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| Coming soon | ||
MiMo-V2-Omni is ahead overall, 75 to 64. The biggest single separator in this matchup is MMMU-Pro, where the scores are 73.8% and 76.8%.
Gemma 4 26B A4B has the edge for coding in this comparison, averaging 77.1 versus 74.8. MiMo-V2-Omni 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 73.8. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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