Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Granite-4.0-350M
~27
0/8 categoriesNemotron-4 15B
40
Winner · 2/8 categoriesGranite-4.0-350M· Nemotron-4 15B
Pick Nemotron-4 15B if you want the stronger benchmark profile. Granite-4.0-350M only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Nemotron-4 15B is clearly ahead on the aggregate, 40 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Nemotron-4 15B's sharpest advantage is in multilingual, where it averages 72.4 against 16.2. The single biggest benchmark swing on the page is MGSM, 16.2% to 75%.
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-4.0-350M | Nemotron-4 15B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 37% |
| BrowseComp | — | 47% |
| OSWorld-Verified | — | 42% |
| Coding | ||
| HumanEval | 38% | 46% |
| SWE-bench Verified | — | 31% |
| LiveCodeBench | — | 22% |
| SWE-bench Pro | — | 30% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 46% |
| OfficeQA Pro | — | 54% |
| Reasoning | ||
| BBH | 33.3% | 73% |
| MuSR | — | 50% |
| LongBench v2 | — | 52% |
| MRCRv2 | — | 51% |
| KnowledgeNemotron-4 15B wins | ||
| MMLU | 36.2% | 54% |
| GPQA | 26.1% | 53% |
| MMLU-Pro | 14.4% | — |
| SuperGPQA | — | 51% |
| HLE | — | 5% |
| FrontierScience | — | 50% |
| SimpleQA | — | 52% |
| Instruction Following | ||
| IFEval | 61.6% | — |
| MultilingualNemotron-4 15B wins | ||
| MGSM | 16.2% | 75% |
| MMLU-ProX | — | 71% |
| Mathematics | ||
| AIME 2023 | — | 54% |
| AIME 2024 | — | 56% |
| AIME 2025 | — | 55% |
| HMMT Feb 2023 | — | 50% |
| HMMT Feb 2024 | — | 52% |
| HMMT Feb 2025 | — | 51% |
| BRUMO 2025 | — | 53% |
Nemotron-4 15B is ahead overall, 40 to 27. The biggest single separator in this matchup is MGSM, where the scores are 16.2% and 75%.
Nemotron-4 15B has the edge for knowledge tasks in this comparison, averaging 37.7 versus 18.5. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Nemotron-4 15B has the edge for multilingual tasks in this comparison, averaging 72.4 versus 16.2. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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