Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 26B A4B
64
Winner · 3/8 categoriesNemotron 3 Super 100B
56
1/8 categoriesGemma 4 26B A4B· Nemotron 3 Super 100B
Pick Gemma 4 26B A4B if you want the stronger benchmark profile. Nemotron 3 Super 100B only becomes the better choice if reasoning is the priority or you need the larger 1M context window.
Gemma 4 26B A4B is clearly ahead on the aggregate, 64 to 56. 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 40.3. The single biggest benchmark swing on the page is LiveCodeBench, 77.1% to 38%. Nemotron 3 Super 100B does hit back in reasoning, so the answer changes if that is the part of the workload you care about most.
Gemma 4 26B A4B is the reasoning model in the pair, while Nemotron 3 Super 100B 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. Nemotron 3 Super 100B gives you the larger context window at 1M, 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 Super 100B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 56% |
| BrowseComp | — | 61% |
| OSWorld-Verified | — | 54% |
| CodingGemma 4 26B A4B wins | ||
| LiveCodeBench | 77.1% | 38% |
| HumanEval | — | 57% |
| SWE-bench Verified | — | 44% |
| Multimodal & GroundedGemma 4 26B A4B wins | ||
| MMMU-Pro | 73.8% | 55% |
| OfficeQA Pro | — | 67% |
| ReasoningNemotron 3 Super 100B wins | ||
| BBH | 64.8% | 83% |
| MRCRv2 | 44.1% | 75% |
| MuSR | — | 60% |
| LongBench v2 | — | 75% |
| KnowledgeGemma 4 26B A4B wins | ||
| GPQA | 82.3% | 64% |
| MMLU-Pro | 82.6% | 72% |
| HLE | 17.2% | 13% |
| HLE w/o tools | 8.7% | — |
| MMLU | — | 65% |
| SuperGPQA | — | 62% |
| FrontierScience | — | 63% |
| SimpleQA | — | 62% |
| Instruction Following | ||
| IFEval | — | 84% |
| Multilingual | ||
| MGSM | — | 84% |
| MMLU-ProX | — | 77% |
| Mathematics | ||
| AIME 2023 | — | 65% |
| AIME 2024 | — | 67% |
| AIME 2025 | — | 66% |
| HMMT Feb 2023 | — | 61% |
| BRUMO 2025 | — | 64% |
| MATH-500 | — | 83% |
Gemma 4 26B A4B is ahead overall, 64 to 56. The biggest single separator in this matchup is LiveCodeBench, where the scores are 77.1% and 38%.
Gemma 4 26B A4B has the edge for knowledge tasks in this comparison, averaging 56.1 versus 53.4. 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 40.3. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Nemotron 3 Super 100B has the edge for reasoning in this comparison, averaging 71 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 60.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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