Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Holo3-35B-A3B
~78
Winner · 1/8 categoriesMoonshot v1
43
0/8 categoriesHolo3-35B-A3B· Moonshot v1
Pick Holo3-35B-A3B if you want the stronger benchmark profile. Moonshot v1 only becomes the better choice if you need the larger 128K context window.
Holo3-35B-A3B is clearly ahead on the aggregate, 78 to 43. 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 42.8.
Moonshot v1 gives you the larger context window at 128K, 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 | Moonshot v1 |
|---|---|---|
| AgenticHolo3-35B-A3B wins | ||
| OSWorld-Verified | 77.8% | — |
| Terminal-Bench 2.0 | — | 39% |
| BrowseComp | — | 49% |
| Coding | ||
| HumanEval | — | 45% |
| SWE-bench Verified | — | 34% |
| LiveCodeBench | — | 21% |
| SWE-bench Pro | — | 30% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 49% |
| OfficeQA Pro | — | 57% |
| Reasoning | ||
| MuSR | — | 49% |
| BBH | — | 73% |
| LongBench v2 | — | 58% |
| MRCRv2 | — | 56% |
| Knowledge | ||
| MMLU | — | 53% |
| GPQA | — | 52% |
| SuperGPQA | — | 50% |
| MMLU-Pro | — | 64% |
| HLE | — | 5% |
| FrontierScience | — | 49% |
| SimpleQA | — | 51% |
| Instruction Following | ||
| IFEval | — | 77% |
| Multilingual | ||
| MGSM | — | 73% |
| MMLU-ProX | — | 68% |
| Mathematics | ||
| AIME 2023 | — | 53% |
| AIME 2024 | — | 55% |
| AIME 2025 | — | 54% |
| HMMT Feb 2023 | — | 49% |
| HMMT Feb 2024 | — | 51% |
| HMMT Feb 2025 | — | 50% |
| BRUMO 2025 | — | 52% |
Holo3-35B-A3B is ahead overall, 78 to 43.
Holo3-35B-A3B has the edge for agentic tasks in this comparison, averaging 77.8 versus 42.8. Moonshot v1 stays close enough that the answer can still flip depending on your workload.
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