Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 6.4% higher average benchmark score. Overall, Nemotron Nano 9B v2 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-R1-Distill-Qwen-32B was created as a larger distilled variant, designed to transfer more of DeepSeek-R1's reasoning capabilities into a Qwen-based foundation. Built to serve applications requiring enhanced analytical depth, it represents a powerful option in the distilled reasoning model family.
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 Distill Qwen 32B
DeepSeek
2025-01-20

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

DeepSeek R1 Distill Qwen 32B

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

DeepSeek R1 Distill Qwen 32B
DeepInfra

Nemotron Nano 9B v2

DeepSeek R1 Distill Qwen 32B

Nemotron Nano 9B v2

DeepSeek R1 Distill Qwen 32B

Nemotron Nano 9B v2