Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Granite-4.0-H-1B
~43
Winner · 0/8 categoriesNemotron 3 Nano 30B
42
3/8 categoriesGranite-4.0-H-1B· Nemotron 3 Nano 30B
Pick Granite-4.0-H-1B if you want the stronger benchmark profile. Nemotron 3 Nano 30B only becomes the better choice if multilingual is the priority.
Granite-4.0-H-1B finishes one point ahead overall, 43 to 42. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Granite-4.0-H-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-H-1B | Nemotron 3 Nano 30B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 38% |
| BrowseComp | — | 43% |
| OSWorld-Verified | — | 39% |
| Coding | ||
| HumanEval | 74% | 49% |
| SWE-bench Verified | — | 26% |
| SWE-bench Pro | — | 27% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 38% |
| OfficeQA Pro | — | 54% |
| Reasoning | ||
| BBH | 60.4% | 72% |
| MuSR | — | 52% |
| LongBench v2 | — | 51% |
| MRCRv2 | — | 51% |
| KnowledgeNemotron 3 Nano 30B wins | ||
| MMLU | 59.4% | 57% |
| GPQA | 29.9% | 56% |
| MMLU-Pro | 34.0% | 65% |
| SuperGPQA | — | 54% |
| HLE | — | 1% |
| FrontierScience | — | 54% |
| SimpleQA | — | 54% |
| Instruction FollowingNemotron 3 Nano 30B wins | ||
| IFEval | 77.4% | 78% |
| MultilingualNemotron 3 Nano 30B wins | ||
| MGSM | 37.8% | 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% |
Granite-4.0-H-1B is ahead overall, 43 to 42. The biggest single separator in this matchup is MGSM, where the scores are 37.8% and 75%.
Nemotron 3 Nano 30B has the edge for knowledge tasks in this comparison, averaging 44.5 versus 32.6. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Nemotron 3 Nano 30B has the edge for instruction following in this comparison, averaging 78 versus 77.4. 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 37.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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