Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 26B A4B
64
Winner · 2/8 categorieso1-pro
45
2/8 categoriesGemma 4 26B A4B· o1-pro
Pick Gemma 4 26B A4B if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority.
Gemma 4 26B A4B is clearly ahead on the aggregate, 64 to 45. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemma 4 26B A4B's sharpest advantage is in coding, where it averages 77.1 against 23. The single biggest benchmark swing on the page is MMMU-Pro, 73.8% to 48%. o1-pro does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 26B A4B. That is roughly Infinityx on output cost alone. Gemma 4 26B A4B gives you the larger context window at 256K, compared with 200K for o1-pro.
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 4 26B A4B | o1-pro |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 40% |
| BrowseComp | — | 50% |
| OSWorld-Verified | — | 32% |
| CodingGemma 4 26B A4B wins | ||
| LiveCodeBench | 77.1% | — |
| SWE-bench Pro | — | 23% |
| Multimodal & GroundedGemma 4 26B A4B wins | ||
| MMMU-Pro | 73.8% | 48% |
| OfficeQA Pro | — | 49% |
| Reasoningo1-pro wins | ||
| BBH | 64.8% | — |
| MRCRv2 | 44.1% | 59% |
| LongBench v2 | — | 54% |
| Knowledgeo1-pro wins | ||
| GPQA | 82.3% | 79% |
| MMLU-Pro | 82.6% | — |
| HLE | 17.2% | — |
| HLE w/o tools | 8.7% | — |
| FrontierScience | — | 63% |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| MMLU-ProX | — | 52% |
| Mathematics | ||
| AIME 2024 | — | 86% |
Gemma 4 26B A4B is ahead overall, 64 to 45. The biggest single separator in this matchup is MMMU-Pro, where the scores are 73.8% and 48%.
o1-pro has the edge for knowledge tasks in this comparison, averaging 69.4 versus 56.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Gemma 4 26B A4B has the edge for coding in this comparison, averaging 77.1 versus 23. o1-pro stays close enough that the answer can still flip depending on your workload.
o1-pro has the edge for reasoning in this comparison, averaging 56.3 versus 44.1. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Gemma 4 26B A4B has the edge for multimodal and grounded tasks in this comparison, averaging 73.8 versus 48.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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