Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 3.1 Pro
87
Winner · 0/8 categoriesHolo3-122B-A10B
~79
1/8 categoriesGemini 3.1 Pro· Holo3-122B-A10B
Pick Gemini 3.1 Pro if you want the stronger benchmark profile. Holo3-122B-A10B only becomes the better choice if agentic is the priority or you want the cheaper token bill.
Gemini 3.1 Pro is clearly ahead on the aggregate, 87 to 79. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3.1 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 3.1 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 3.1 Pro | Holo3-122B-A10B |
|---|---|---|
| AgenticHolo3-122B-A10B wins | ||
| Terminal-Bench 2.0 | 77% | — |
| BrowseComp | 86% | — |
| OSWorld-Verified | 68% | 78.8% |
| Coding | ||
| HumanEval | 91% | — |
| SWE-bench Verified | 75% | — |
| LiveCodeBench | 71% | — |
| SWE-bench Pro | 72% | — |
| SWE-Rebench | 62.3% | — |
| React Native Evals | 78.9% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 95% | — |
| OfficeQA Pro | 95% | — |
| Reasoning | ||
| MuSR | 93% | — |
| BBH | 92% | — |
| LongBench v2 | 93% | — |
| MRCRv2 | 90% | — |
| ARC-AGI-2 | 77.1% | — |
| Knowledge | ||
| MMLU | 99% | — |
| GPQA | 97% | — |
| SuperGPQA | 95% | — |
| MMLU-Pro | 92% | — |
| HLE | 40% | — |
| FrontierScience | 88% | — |
| SimpleQA | 95% | — |
| Instruction Following | ||
| IFEval | 95% | — |
| Multilingual | ||
| MGSM | 96% | — |
| MMLU-ProX | 93% | — |
| Mathematics | ||
| AIME 2023 | 99% | — |
| AIME 2024 | 99% | — |
| AIME 2025 | 98% | — |
| HMMT Feb 2023 | 95% | — |
| HMMT Feb 2024 | 97% | — |
| HMMT Feb 2025 | 96% | — |
| BRUMO 2025 | 96% | — |
| MATH-500 | 97% | — |
Gemini 3.1 Pro is ahead overall, 87 to 79. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 68% and 78.8%.
Holo3-122B-A10B has the edge for agentic tasks in this comparison, averaging 78.9 versus 76.1. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
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