Nemotron Nano 9B v2
NVIDIA · open weight · nvidia-nemotron-nano-9b-v2
NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and tasks by first generating a reasoning trace and then concluding with a final response. The model's reasoning capabilities can be controlled via a system prompt. If the user prefers the model to provide its final answer without intermediate reasoning traces, it can be configured to do so, albeit with a slight decrease in accuracy for harder prompts that require reasoning. Conversely, allowing the model to generate reasoning traces first generally results in higher-quality final solutions to queries and tasks.
Benchmark scores
| Benchmark | Score |
|---|---|
| MATH-500 | 0.98 |
| IFEval | 0.90 |
| AIME 2025 | 0.72 |
| LiveCodeBench | 0.71 |
| GPQA | 0.64 |
Pricing
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AA metrics
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Arena Elo
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