Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.4 mini
68
0/8 categoriesHolo3-35B-A3B
~78
Winner · 1/8 categoriesGPT-5.4 mini· Holo3-35B-A3B
Pick Holo3-35B-A3B if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if you need the larger 400K context window or you want the stronger reasoning-first profile.
Holo3-35B-A3B is clearly ahead on the aggregate, 78 to 68. 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 65.6. The single biggest benchmark swing on the page is OSWorld-Verified, 72.1% to 77.8%.
GPT-5.4 mini is also the more expensive model on tokens at $0.75 input / $4.50 output per 1M tokens, versus $0.25 input / $1.80 output per 1M tokens for Holo3-35B-A3B. That is roughly 2.5x on output cost alone. GPT-5.4 mini is the reasoning model in the pair, while Holo3-35B-A3B is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-5.4 mini gives you the larger context window at 400K, 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-5.4 mini | Holo3-35B-A3B |
|---|---|---|
| AgenticHolo3-35B-A3B wins | ||
| Terminal-Bench 2.0 | 60% | — |
| OSWorld-Verified | 72.1% | 77.8% |
| MCP Atlas | 57.7% | — |
| Toolathlon | 42.9% | — |
| tau2-bench | 93.4% | — |
| Coding | ||
| SWE-bench Pro | 54.4% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 76.6% | — |
| MMMU-Pro w/ Python | 78% | — |
| OmniDocBench 1.5 | 0.1263 | — |
| Reasoning | ||
| MRCRv2 | 40.7% | — |
| MRCR v2 64K-128K | 47.7% | — |
| MRCR v2 128K-256K | 33.6% | — |
| Graphwalks BFS 128K | 76.3% | — |
| Graphwalks Parents 128K | 71.5% | — |
| Knowledge | ||
| GPQA | 88% | — |
| HLE | 41.5% | — |
| HLE w/o tools | 28.2% | — |
| Instruction Following | ||
| IFEval | 87.4% | — |
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| MATH-500 | 97.4% | — |
Holo3-35B-A3B is ahead overall, 78 to 68. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 72.1% and 77.8%.
Holo3-35B-A3B has the edge for agentic tasks in this comparison, averaging 77.8 versus 65.6. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
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