Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 3.1 Flash-Lite
56
0/8 categoriesHolo3-122B-A10B
~79
Winner · 1/8 categoriesGemini 3.1 Flash-Lite· Holo3-122B-A10B
Pick Holo3-122B-A10B if you want the stronger benchmark profile. Gemini 3.1 Flash-Lite only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Holo3-122B-A10B is clearly ahead on the aggregate, 79 to 56. 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 49.2. The single biggest benchmark swing on the page is OSWorld-Verified, 44% to 78.8%.
Holo3-122B-A10B is also the more expensive model on tokens at $0.40 input / $3.00 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for Gemini 3.1 Flash-Lite. That is roughly 7.5x on output cost alone. Gemini 3.1 Flash-Lite 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 Flash-Lite | Holo3-122B-A10B |
|---|---|---|
| AgenticHolo3-122B-A10B wins | ||
| Terminal-Bench 2.0 | 47% | — |
| BrowseComp | 60% | — |
| OSWorld-Verified | 44% | 78.8% |
| Coding | ||
| HumanEval | 55% | — |
| SWE-bench Verified | 22% | — |
| LiveCodeBench | 21% | — |
| SWE-bench Pro | 29% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 74% | — |
| OfficeQA Pro | 72% | — |
| Reasoning | ||
| MuSR | 58% | — |
| BBH | 74% | — |
| LongBench v2 | 69% | — |
| MRCRv2 | 73% | — |
| Knowledge | ||
| MMLU | 63% | — |
| GPQA | 62% | — |
| SuperGPQA | 60% | — |
| MMLU-Pro | 63% | — |
| HLE | 1% | — |
| FrontierScience | 55% | — |
| SimpleQA | 60% | — |
| Instruction Following | ||
| IFEval | 79% | — |
| Multilingual | ||
| MGSM | 73% | — |
| MMLU-ProX | 68% | — |
| Mathematics | ||
| AIME 2023 | 63% | — |
| AIME 2024 | 65% | — |
| AIME 2025 | 64% | — |
| HMMT Feb 2023 | 59% | — |
| HMMT Feb 2024 | 61% | — |
| HMMT Feb 2025 | 60% | — |
| BRUMO 2025 | 62% | — |
| MATH-500 | 71% | — |
Holo3-122B-A10B is ahead overall, 79 to 56. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 44% and 78.8%.
Holo3-122B-A10B has the edge for agentic tasks in this comparison, averaging 78.9 versus 49.2. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
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