NVIDIA: Nemotron Nano 9B V2

NVIDIA's Nemotron Nano 9B V2, created on September 5, 2025, is a 128,000 context length LLM designed for both reasoning and non-reasoning tasks, featuring a controllable reasoning trace. This model consistently ranks among the fastest available, demonstrating exceptional speed across all evaluated benchmarks. While specific pricing data is unavailable, suggesting potential free-tier usage, its reliability is outstanding, boasting a 99% success rate with minimal technical failures. In terms of performance, Nemotron Nano 9B V2 exhibits a notable strength in Ethics, achieving perfect 100% accuracy, making it the most accurate model at its speed. It also performs well in Coding and Reasoning, with 83.0% and 73.1% accuracy respectively, indicating solid capabilities in these areas. However, a significant weakness is apparent in Instruction Following, where it scored 0.0% accuracy, suggesting a critical area for improvement. Email Classification shows moderate performance at 94.1% accuracy. Overall, the model excels in speed and reliability, with strong ethical and reasoning foundations, but requires substantial development in instruction adherence.