NVIDIA: Nemotron Nano 9B V2

NVIDIA: Nemotron Nano 9B V2, created on September 5, 2025, is a 9B parameter LLM designed for both reasoning and non-reasoning tasks, capable of generating reasoning traces or direct answers based on system prompt configuration. This model consistently ranks among the fastest, achieving an Infinityth percentile in speed across 8 benchmarks. It also offers competitive pricing, placing in the 65th percentile for cost-effectiveness. Reliability is a significant strength, with a 99% success rate across 8 benchmarks, indicating minimal technical failures. In terms of performance across categories, the model demonstrates exceptional ethical reasoning with a perfect 100% accuracy, notably achieving this while being among the fastest models in this category. It also shows strong capabilities in hallucination avoidance (98.0% accuracy) and general knowledge (98.6% accuracy), though the latter comes with a very long duration. Reasoning tasks are handled effectively with 89.8% accuracy. However, the model exhibits significant weaknesses in instruction following and mathematics, both scoring 0.0% accuracy, suggesting these areas require substantial improvement. Coding performance is moderate at 83.0% accuracy, while email classification is a notable weakness at 94.1% accuracy, placing it in the 27th percentile.