Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 4.6% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-R1-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
NVIDIA
Nemotron Nano 9B v2 is a language model developed by NVIDIA. It achieves strong performance with an average score of 77.0% across 6 benchmarks. It excels particularly in MATH-500 (97.8%), IFEval (90.3%), AIME 2025 (72.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents NVIDIA's latest advancement in AI technology.
7 months newer

DeepSeek R1 Zero
DeepSeek
2025-01-20

Nemotron Nano 9B v2
NVIDIA
2025-08-18
Average performance across 3 common benchmarks

DeepSeek R1 Zero

Nemotron Nano 9B v2
Nemotron Nano 9B v2
2024-09
Available providers and their performance metrics

DeepSeek R1 Zero

Nemotron Nano 9B v2

DeepSeek R1 Zero

Nemotron Nano 9B v2