Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Granite-4.0-1B
~40
0/8 categoriesNemotron-4 15B
40
2/8 categoriesGranite-4.0-1B· Nemotron-4 15B
Treat this as a split decision. Granite-4.0-1B makes more sense if you need the larger 128K context window; Nemotron-4 15B is the better fit if multilingual is the priority.
Granite-4.0-1B and Nemotron-4 15B finish on the same overall score, so this is less about a single winner and more about where the edge shows up. The headline says tie; the benchmark table is where the real choice happens.
Granite-4.0-1B gives you the larger context window at 128K, compared with 32K for Nemotron-4 15B.
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-4 15B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 37% |
| BrowseComp | — | 47% |
| OSWorld-Verified | — | 42% |
| Coding | ||
| HumanEval | 73% | 46% |
| SWE-bench Verified | — | 31% |
| LiveCodeBench | — | 22% |
| SWE-bench Pro | — | 30% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 46% |
| OfficeQA Pro | — | 54% |
| Reasoning | ||
| BBH | 59.7% | 73% |
| MuSR | — | 50% |
| LongBench v2 | — | 52% |
| MRCRv2 | — | 51% |
| KnowledgeNemotron-4 15B wins | ||
| MMLU | 59.7% | 54% |
| GPQA | 29.7% | 53% |
| MMLU-Pro | 32.9% | — |
| SuperGPQA | — | 51% |
| HLE | — | 5% |
| FrontierScience | — | 50% |
| SimpleQA | — | 52% |
| Instruction Following | ||
| IFEval | 78.5% | — |
| MultilingualNemotron-4 15B wins | ||
| MGSM | 27.5% | 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% |
Granite-4.0-1B and Nemotron-4 15B are tied on overall score, so the right pick depends on which category matters most for your use case.
Nemotron-4 15B has the edge for knowledge tasks in this comparison, averaging 37.7 versus 31.7. 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 27.5. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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