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A head-to-head benchmark comparison of Nemotron-H 47B 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 47B specs →| Benchmark | Nemotron-H 47B |
|---|---|
| code | |
| HumanEval | 61% |
| HumanEval+ | 56.1% |
| MBPP | 75.9% |
| MBPP+ | 65.6% |
| general | |
| MMLU | 83.6% |
| MMLU-Pro | 61.8% |
| knowledge | |
| ARC-Challenge | 94.6 |
| math | |
| GSM8K | 93.3% |
| MATH | 57.4% |
| MATH-500 | 57.9% |
| reasoning | |
| HellaSwag | 87.9 |
| Winogrande | 83.9 |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
Nemotron-H 47B 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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