Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 2.5 Pro
65
0/8 categoriesHolo3-122B-A10B
~79
Winner · 1/8 categoriesGemini 2.5 Pro· Holo3-122B-A10B
Pick Holo3-122B-A10B if you want the stronger benchmark profile. Gemini 2.5 Pro only becomes the better choice if you need the larger 1M context window.
Holo3-122B-A10B is clearly ahead on the aggregate, 79 to 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Holo3-122B-A10B's sharpest advantage is in agentic, where it averages 78.9 against 61.7. The single biggest benchmark swing on the page is OSWorld-Verified, 55% to 78.8%.
Gemini 2.5 Pro is also the more expensive model on tokens at $1.25 input / $5.00 output per 1M tokens, versus $0.40 input / $3.00 output per 1M tokens for Holo3-122B-A10B. Gemini 2.5 Pro gives you the larger context window at 1M, compared with 64K for Holo3-122B-A10B.
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 2.5 Pro | Holo3-122B-A10B |
|---|---|---|
| AgenticHolo3-122B-A10B wins | ||
| Terminal-Bench 2.0 | 61% | — |
| BrowseComp | 72% | — |
| OSWorld-Verified | 55% | 78.8% |
| Coding | ||
| HumanEval | 75% | — |
| SWE-bench Verified | 63.8% | — |
| LiveCodeBench | 37% | — |
| SWE-bench Pro | 44% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 86% | — |
| OfficeQA Pro | 84% | — |
| Reasoning | ||
| MuSR | 79% | — |
| LongBench v2 | 80% | — |
| MRCRv2 | 83% | — |
| ARC-AGI-2 | 4.9% | — |
| Knowledge | ||
| MMLU | 83% | — |
| GPQA | 83% | — |
| SuperGPQA | 81% | — |
| MMLU-Pro | 76% | — |
| HLE | 18.8% | — |
| FrontierScience | 70% | — |
| SimpleQA | 81% | — |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| MGSM | 84% | — |
| MMLU-ProX | 82% | — |
| Mathematics | ||
| AIME 2023 | 84% | — |
| AIME 2024 | 92% | — |
| AIME 2025 | 85% | — |
| HMMT Feb 2023 | 80% | — |
| HMMT Feb 2024 | 82% | — |
| HMMT Feb 2025 | 81% | — |
| BRUMO 2025 | 83% | — |
| MATH-500 | 84% | — |
Holo3-122B-A10B is ahead overall, 79 to 65. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 55% and 78.8%.
Holo3-122B-A10B has the edge for agentic tasks in this comparison, averaging 78.9 versus 61.7. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
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