Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-OSS 20B
35
0/8 categoriesHolo3-35B-A3B
~78
Winner · 1/8 categoriesGPT-OSS 20B· Holo3-35B-A3B
Pick Holo3-35B-A3B if you want the stronger benchmark profile. GPT-OSS 20B only becomes the better choice if you want the cheaper token bill or you need the larger 128K context window.
Holo3-35B-A3B is clearly ahead on the aggregate, 78 to 35. 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 33.1. The single biggest benchmark swing on the page is OSWorld-Verified, 31% to 77.8%.
Holo3-35B-A3B is also the more expensive model on tokens at $0.25 input / $1.80 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GPT-OSS 20B. That is roughly Infinityx on output cost alone. GPT-OSS 20B gives you the larger context window at 128K, 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 | GPT-OSS 20B | Holo3-35B-A3B |
|---|---|---|
| AgenticHolo3-35B-A3B wins | ||
| Terminal-Bench 2.0 | 35% | — |
| OSWorld-Verified | 31% | 77.8% |
| Coding | ||
| HumanEval | 23% | — |
| SWE-bench Verified | 14% | — |
| LiveCodeBench | 11% | — |
| SWE-bench Pro | 18% | — |
| React Native Evals | 64.3% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 31% | — |
| OfficeQA Pro | 42% | — |
| Reasoning | ||
| MuSR | 27% | — |
| LongBench v2 | 48% | — |
| MRCRv2 | 48% | — |
| Knowledge | ||
| MMLU | 85.3% | — |
| GPQA | 30% | — |
| SuperGPQA | 28% | — |
| MMLU-Pro | 53% | — |
| HLE | 1% | — |
| FrontierScience | 34% | — |
| SimpleQA | 29% | — |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| MGSM | 61% | — |
| MMLU-ProX | 59% | — |
| Mathematics | ||
| AIME 2023 | 31% | — |
| AIME 2024 | 33% | — |
| AIME 2025 | 32% | — |
| HMMT Feb 2023 | 27% | — |
| HMMT Feb 2024 | 29% | — |
| HMMT Feb 2025 | 28% | — |
| BRUMO 2025 | 30% | — |
| MATH-500 | 59% | — |
Holo3-35B-A3B is ahead overall, 78 to 35. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 31% and 77.8%.
Holo3-35B-A3B has the edge for agentic tasks in this comparison, averaging 77.8 versus 33.1. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
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