Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 3 27B
34
0/8 categoriesHolo3-122B-A10B
~79
Winner · 1/8 categoriesGemma 3 27B· Holo3-122B-A10B
Pick Holo3-122B-A10B if you want the stronger benchmark profile. Gemma 3 27B only becomes the better choice if you want the cheaper token bill.
Holo3-122B-A10B is clearly ahead on the aggregate, 79 to 34. 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 34.4. The single biggest benchmark swing on the page is OSWorld-Verified, 35% 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 $0.00 input / $0.00 output per 1M tokens for Gemma 3 27B. That is roughly Infinityx on output cost alone. Holo3-122B-A10B gives you the larger context window at 64K, compared with 32K for Gemma 3 27B.
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 | Gemma 3 27B | Holo3-122B-A10B |
|---|---|---|
| AgenticHolo3-122B-A10B wins | ||
| Terminal-Bench 2.0 | 29% | — |
| BrowseComp | 42% | — |
| OSWorld-Verified | 35% | 78.8% |
| Coding | ||
| HumanEval | 37% | — |
| SWE-bench Verified | 16% | — |
| LiveCodeBench | 15% | — |
| SWE-bench Pro | 17% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 39% | — |
| OfficeQA Pro | 45% | — |
| Reasoning | ||
| MuSR | 41% | — |
| BBH | 62% | — |
| LongBench v2 | 47% | — |
| MRCRv2 | 44% | — |
| Knowledge | ||
| MMLU | 45% | — |
| GPQA | 44% | — |
| SuperGPQA | 42% | — |
| MMLU-Pro | 50% | — |
| HLE | 3% | — |
| FrontierScience | 42% | — |
| SimpleQA | 43% | — |
| Instruction Following | ||
| IFEval | 67% | — |
| Multilingual | ||
| MGSM | 64% | — |
| MMLU-ProX | 60% | — |
| Mathematics | ||
| AIME 2023 | 45% | — |
| AIME 2024 | 47% | — |
| AIME 2025 | 46% | — |
| HMMT Feb 2023 | 41% | — |
| HMMT Feb 2024 | 43% | — |
| HMMT Feb 2025 | 42% | — |
| BRUMO 2025 | 44% | — |
| MATH-500 | 56% | — |
Holo3-122B-A10B is ahead overall, 79 to 34. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 35% and 78.8%.
Holo3-122B-A10B has the edge for agentic tasks in this comparison, averaging 78.9 versus 34.4. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
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