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Nemotron Nano 9B v2 vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 27.2% 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-3.5 MoE was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
12 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Nemotron Nano 9B v2
NVIDIA
2025-08-18
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Average performance across 1 common benchmarks
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Nemotron Nano 9B v2
Average Score:64.0%(+27.2%)
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Phi-3.5-MoE-instruct
Average Score:36.8%
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Knowledge Cutoff
Training data recency comparison
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-3.5-MoE-instruct
0 providers
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Nemotron Nano 9B v2
Avg Score:64.0%(+27.2%)
Providers:0
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Phi-3.5-MoE-instruct
Avg Score:36.8%
Providers:0