Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 E2B
~39
0/8 categoriesMiMo-V2-Flash
67
Winner · 4/8 categoriesGemma 4 E2B· MiMo-V2-Flash
Pick MiMo-V2-Flash 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-Flash is clearly ahead on the aggregate, 67 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2-Flash's sharpest advantage is in reasoning, where it averages 68.3 against 19.1. The single biggest benchmark swing on the page is BBH, 21.9% to 85%.
MiMo-V2-Flash 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 | MiMo-V2-Flash |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 63% |
| BrowseComp | — | 65% |
| OSWorld-Verified | — | 58% |
| Claw-Eval | — | 48.1% |
| CodingMiMo-V2-Flash wins | ||
| LiveCodeBench | 44% | 80.6% |
| HumanEval | — | 84.8% |
| SWE-bench Verified | — | 73.4% |
| SWE-bench Pro | — | 52% |
| SWE Multilingual | — | 71.7% |
| Multimodal & GroundedMiMo-V2-Flash wins | ||
| MMMU-Pro | 44.2% | 78% |
| OfficeQA Pro | — | 73% |
| ReasoningMiMo-V2-Flash wins | ||
| BBH | 21.9% | 85% |
| MRCRv2 | 19.1% | 73% |
| MuSR | — | 74% |
| LongBench v2 | — | 60.6% |
| KnowledgeMiMo-V2-Flash wins | ||
| GPQA | 43.4% | 83.7% |
| MMLU-Pro | 60% | 84.9% |
| MMLU | — | 86.7% |
| SuperGPQA | — | 76% |
| HLE | — | 14% |
| FrontierScience | — | 71% |
| SimpleQA | — | 76% |
| Instruction Following | ||
| IFEval | — | 84% |
| Multilingual | ||
| MMLU-ProX | — | 77% |
| Mathematics | ||
| AIME 2023 | — | 79% |
| AIME 2024 | — | 81% |
| AIME 2025 | — | 94.1% |
| HMMT Feb 2023 | — | 75% |
| HMMT Feb 2024 | — | 77% |
| HMMT Feb 2025 | — | 76% |
| BRUMO 2025 | — | 78% |
| MATH-500 | — | 90% |
MiMo-V2-Flash is ahead overall, 67 to 39. The biggest single separator in this matchup is BBH, where the scores are 21.9% and 85%.
MiMo-V2-Flash has the edge for knowledge tasks in this comparison, averaging 63.7 versus 54.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
MiMo-V2-Flash has the edge for coding in this comparison, averaging 67.9 versus 44. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
MiMo-V2-Flash has the edge for reasoning in this comparison, averaging 68.3 versus 19.1. Inside this category, BBH is the benchmark that creates the most daylight between them.
MiMo-V2-Flash has the edge for multimodal and grounded tasks in this comparison, averaging 75.8 versus 44.2. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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