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Llama 3.1 Nemotron Ultra 253B v1 vs Nemotron Nano 9B v2
Comprehensive side-by-side LLM comparison
Llama 3.1 Nemotron Ultra 253B v1 leads with 1.2% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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NVIDIA
Llama 3.1 Nemotron Ultra 253B was developed as NVIDIA's largest Nemotron variant, designed to provide maximum capability through extensive customization of large-scale foundations. Built with 253 billion parameters and NVIDIA's specialized training, it represents the flagship offering in the Nemotron family.
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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.
4 months newer
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
Nemotron Nano 9B v2
NVIDIA
2025-08-18
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Average performance across 5 common benchmarks
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Llama 3.1 Nemotron Ultra 253B v1
Average Score:80.3%(+1.2%)
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Nemotron Nano 9B v2
Average Score:79.1%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Ultra 253B v1
2023-12-01
Nemotron Nano 9B v2
2024-09
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.1 Nemotron Ultra 253B v1
0 providers
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Nemotron Nano 9B v2
0 providers
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Llama 3.1 Nemotron Ultra 253B v1
Avg Score:80.3%(+1.2%)
Providers:0
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Nemotron Nano 9B v2
Avg Score:79.1%
Providers:0