Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 3 Flash
66
0/8 categoriesHolo3-35B-A3B
~78
Winner · 1/8 categoriesGemini 3 Flash· Holo3-35B-A3B
Pick Holo3-35B-A3B if you want the stronger benchmark profile. Gemini 3 Flash only becomes the better choice if you need the larger 1M context window.
Holo3-35B-A3B is clearly ahead on the aggregate, 78 to 66. 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 57.5. The single biggest benchmark swing on the page is OSWorld-Verified, 53% to 77.8%.
Gemini 3 Flash is also the more expensive model on tokens at $0.50 input / $3.00 output per 1M tokens, versus $0.25 input / $1.80 output per 1M tokens for Holo3-35B-A3B. Gemini 3 Flash gives you the larger context window at 1M, 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 | Gemini 3 Flash | Holo3-35B-A3B |
|---|---|---|
| AgenticHolo3-35B-A3B wins | ||
| Terminal-Bench 2.0 | 56% | — |
| BrowseComp | 66% | — |
| OSWorld-Verified | 53% | 77.8% |
| Coding | ||
| HumanEval | 62% | — |
| SWE-bench Verified | 44% | — |
| LiveCodeBench | 36% | — |
| SWE-bench Pro | 44% | — |
| SWE-Rebench | 52.5% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 80% | — |
| OfficeQA Pro | 79% | — |
| Reasoning | ||
| MuSR | 65% | — |
| BBH | 84% | — |
| LongBench v2 | 75% | — |
| MRCRv2 | 76% | — |
| Knowledge | ||
| MMLU | 70% | — |
| GPQA | 69% | — |
| SuperGPQA | 67% | — |
| MMLU-Pro | 72% | — |
| HLE | 6% | — |
| FrontierScience | 65% | — |
| SimpleQA | 67% | — |
| Instruction Following | ||
| IFEval | 85% | — |
| Multilingual | ||
| MGSM | 85% | — |
| MMLU-ProX | 78% | — |
| Mathematics | ||
| AIME 2023 | 70% | — |
| AIME 2024 | 72% | — |
| AIME 2025 | 71% | — |
| HMMT Feb 2023 | 66% | — |
| HMMT Feb 2024 | 68% | — |
| HMMT Feb 2025 | 67% | — |
| BRUMO 2025 | 69% | — |
| MATH-500 | 80% | — |
Holo3-35B-A3B is ahead overall, 78 to 66. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 53% and 77.8%.
Holo3-35B-A3B has the edge for agentic tasks in this comparison, averaging 77.8 versus 57.5. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
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