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A head-to-head benchmark comparison of Nemotron-H 56B across 12 evaluations.
As inference-time scaling becomes critical for enhanced reasoning capabilities, it is increasingly becoming important to build models that are efficient to infe.
Full Nemotron-H 56B specs →| Benchmark | Nemotron-H 56B |
|---|---|
| code | |
| HumanEval | 60.37% |
| HumanEval+ | 54.27% |
| MBPP | 77.82% |
| MBPP+ | 67.2% |
| general | |
| MMLU | 84.21% |
| MMLU-Pro | 60.51% |
| knowledge | |
| ARC-Challenge | 94.97 |
| math | |
| GSM8K | 93.71% |
| MATH | 59.42% |
| MATH-500 | 57.37% |
| reasoning | |
| HellaSwag | 89 |
| Winogrande | 84.45 |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
Nemotron-H 56B has the strongest result on HumanEval among the models compared here. See the code-category rows in the table for the full picture.
This comparison covers 12 benchmarks on which at least one of the selected models has a published score.
Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.
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