Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 26B A4B
64
Winner · 2/8 categoriesNemotron 3 Ultra 500B
60
1/8 categoriesGemma 4 26B A4B· Nemotron 3 Ultra 500B
Pick Gemma 4 26B A4B if you want the stronger benchmark profile. Nemotron 3 Ultra 500B only becomes the better choice if reasoning is the priority or you need the larger 10M context window.
Gemma 4 26B A4B is clearly ahead on the aggregate, 64 to 60. 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 43.5. The single biggest benchmark swing on the page is MRCRv2, 44.1% to 85%. Nemotron 3 Ultra 500B does hit back in reasoning, so the answer changes if that is the part of the workload you care about most.
Nemotron 3 Ultra 500B gives you the larger context window at 10M, compared with 256K for Gemma 4 26B A4B.
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 | Nemotron 3 Ultra 500B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 63% |
| BrowseComp | — | 69% |
| OSWorld-Verified | — | 58% |
| CodingGemma 4 26B A4B wins | ||
| LiveCodeBench | 77.1% | 41% |
| HumanEval | — | 66% |
| SWE-bench Verified | — | 42% |
| SWE-bench Pro | — | 47% |
| Multimodal & GroundedGemma 4 26B A4B wins | ||
| MMMU-Pro | 73.8% | 61% |
| OfficeQA Pro | — | 74% |
| ReasoningNemotron 3 Ultra 500B wins | ||
| BBH | 64.8% | 85% |
| MRCRv2 | 44.1% | 85% |
| MuSR | — | 69% |
| LongBench v2 | — | 81% |
| KnowledgeTie | ||
| GPQA | 82.3% | 73% |
| MMLU-Pro | 82.6% | 73% |
| HLE | 17.2% | 15% |
| HLE w/o tools | 8.7% | — |
| SuperGPQA | — | 71% |
| FrontierScience | — | 67% |
| Instruction Following | ||
| IFEval | — | 84% |
| Multilingual | ||
| MGSM | — | 81% |
| MMLU-ProX | — | 79% |
| Mathematics | ||
| AIME 2023 | — | 74% |
| HMMT Feb 2023 | — | 70% |
| HMMT Feb 2024 | — | 72% |
| MATH-500 | — | 84% |
Gemma 4 26B A4B is ahead overall, 64 to 60. The biggest single separator in this matchup is MRCRv2, where the scores are 44.1% and 85%.
Gemma 4 26B A4B and Nemotron 3 Ultra 500B are effectively tied for knowledge tasks here, both landing at 56.1 on average.
Gemma 4 26B A4B has the edge for coding in this comparison, averaging 77.1 versus 43.5. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Nemotron 3 Ultra 500B has the edge for reasoning in this comparison, averaging 79.1 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 66.9. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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