Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Holo3-35B-A3B
~78
Winner · 1/8 categoriesMiMo-V2-Flash
67
0/8 categoriesHolo3-35B-A3B· MiMo-V2-Flash
Pick Holo3-35B-A3B if you want the stronger benchmark profile. MiMo-V2-Flash only becomes the better choice if you want the cheaper token bill or you need the larger 256K context window.
Holo3-35B-A3B is clearly ahead on the aggregate, 78 to 67. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Holo3-35B-A3B's sharpest advantage is in agentic, where it averages 77.8 against 61.8. The single biggest benchmark swing on the page is OSWorld-Verified, 77.8% to 58%.
Holo3-35B-A3B is also the more expensive model on tokens at $0.25 input / $1.80 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for MiMo-V2-Flash. That is roughly Infinityx on output cost alone. MiMo-V2-Flash is the reasoning model in the pair, while Holo3-35B-A3B is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. MiMo-V2-Flash gives you the larger context window at 256K, compared with 64K for Holo3-35B-A3B.
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 | Holo3-35B-A3B | MiMo-V2-Flash |
|---|---|---|
| AgenticHolo3-35B-A3B wins | ||
| OSWorld-Verified | 77.8% | 58% |
| Terminal-Bench 2.0 | — | 63% |
| BrowseComp | — | 65% |
| Coding | ||
| HumanEval | — | 84.8% |
| SWE-bench Verified | — | 73.4% |
| LiveCodeBench | — | 80.6% |
| SWE-bench Pro | — | 52% |
| SWE Multilingual | — | 71.7% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 78% |
| OfficeQA Pro | — | 73% |
| Reasoning | ||
| MuSR | — | 74% |
| BBH | — | 85% |
| LongBench v2 | — | 60.6% |
| MRCRv2 | — | 73% |
| Knowledge | ||
| MMLU | — | 86.7% |
| GPQA | — | 83.7% |
| SuperGPQA | — | 76% |
| MMLU-Pro | — | 84.9% |
| HLE | — | 14% |
| FrontierScience | — | 71% |
| SimpleQA | — | 76% |
| Instruction Following | ||
| IFEval | — | 84% |
| Multilingual | ||
| MGSM | — | 83% |
| 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% |
Holo3-35B-A3B is ahead overall, 78 to 67. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 77.8% and 58%.
Holo3-35B-A3B has the edge for agentic tasks in this comparison, averaging 77.8 versus 61.8. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
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