NVIDIA Nemotron Nano 9B V2 (Reasoning)
Description
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.
Capability Radar
Science uses a reasoning proxy when dedicated science benchmarks are unavailable.
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Code Ranking | 257 | 36.0 | AA |
| General Ranking | 362 | 30.0 | AA |
| Math Reasoning | 119 | 70.0 | AA |
| Science | 343 | 33.0 | AA |
Benchmark Scores (LLM Stats)
Biology
Code
General
Math
AA Evaluation Indices
LLM Stats Category Scores
Pricing
Speed
Provider Price Ranking
Provider Price Ranking
4 providers
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