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Nemotron Nano 9B v2 vs Phi 4
Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 17.6% higher average benchmark score. Overall, Nemotron Nano 9B v2 is the stronger choice for coding tasks.
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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.
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Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
8 months newer
Phi 4
Microsoft
2024-12-12
Nemotron Nano 9B v2
NVIDIA
2025-08-18
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Nemotron Nano 9B v2
Average Score:77.2%(+17.6%)
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Phi 4
Average Score:59.6%
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Knowledge Cutoff
Training data recency comparison
Phi 4
2024-06-01
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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Nemotron Nano 9B v2
0 providers
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Phi 4
1 providers
DeepInfra
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Nemotron Nano 9B v2
Avg Score:77.2%(+17.6%)
Providers:0
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Phi 4
Avg Score:59.6%
Providers:1