Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Granite-4.0-1B
~40
1/8 categoriesNemotron 3 Nano 30B
42
Winner · 2/8 categoriesGranite-4.0-1B· Nemotron 3 Nano 30B
Pick Nemotron 3 Nano 30B if you want the stronger benchmark profile. Granite-4.0-1B only becomes the better choice if instruction following is the priority or you need the larger 128K context window.
Nemotron 3 Nano 30B has the cleaner overall profile here, landing at 42 versus 40. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Nemotron 3 Nano 30B's sharpest advantage is in multilingual, where it averages 71.8 against 27.5. The single biggest benchmark swing on the page is MGSM, 27.5% to 75%. Granite-4.0-1B does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
Granite-4.0-1B gives you the larger context window at 128K, compared with 32K for Nemotron 3 Nano 30B.
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 | Granite-4.0-1B | Nemotron 3 Nano 30B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 38% |
| BrowseComp | — | 43% |
| OSWorld-Verified | — | 39% |
| Coding | ||
| HumanEval | 73% | 49% |
| SWE-bench Verified | — | 26% |
| SWE-bench Pro | — | 27% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 38% |
| OfficeQA Pro | — | 54% |
| Reasoning | ||
| BBH | 59.7% | 72% |
| MuSR | — | 52% |
| LongBench v2 | — | 51% |
| MRCRv2 | — | 51% |
| KnowledgeNemotron 3 Nano 30B wins | ||
| MMLU | 59.7% | 57% |
| GPQA | 29.7% | 56% |
| MMLU-Pro | 32.9% | 65% |
| SuperGPQA | — | 54% |
| HLE | — | 1% |
| FrontierScience | — | 54% |
| SimpleQA | — | 54% |
| Instruction FollowingGranite-4.0-1B wins | ||
| IFEval | 78.5% | 78% |
| MultilingualNemotron 3 Nano 30B wins | ||
| MGSM | 27.5% | 75% |
| MMLU-ProX | — | 70% |
| Mathematics | ||
| AIME 2023 | — | 57% |
| AIME 2024 | — | 59% |
| AIME 2025 | — | 58% |
| HMMT Feb 2023 | — | 53% |
| HMMT Feb 2024 | — | 55% |
| HMMT Feb 2025 | — | 54% |
| BRUMO 2025 | — | 56% |
| MATH-500 | — | 73% |
Nemotron 3 Nano 30B is ahead overall, 42 to 40. The biggest single separator in this matchup is MGSM, where the scores are 27.5% and 75%.
Nemotron 3 Nano 30B has the edge for knowledge tasks in this comparison, averaging 44.5 versus 31.7. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Granite-4.0-1B has the edge for instruction following in this comparison, averaging 78.5 versus 78. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Nemotron 3 Nano 30B has the edge for multilingual tasks in this comparison, averaging 71.8 versus 27.5. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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