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A head-to-head benchmark comparison of NVIDIA-Nemotron-Nano-12B-v2 across 5 evaluations.
NVIDIA-Nemotron-Nano-12B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning.
Full NVIDIA-Nemotron-Nano-12B-v2 specs →| Benchmark | NVIDIA-Nemotron-Nano-12B-v2 |
|---|---|
| code | |
| LiveCodeBench | 70.79% |
| math | |
| AIME 2025 | 76.25% |
| MATH-500 | 97.75% |
| reasoning | |
| GPQA Diamond | 64.48% |
| tool-use | |
| BFCL v3 | 66.98% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
NVIDIA-Nemotron-Nano-12B-v2 has the strongest result on LiveCodeBench among the models compared here. See the code-category rows in the table for the full picture.
This comparison covers 5 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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