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Nemotron Nano 9B v2 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 33.6% 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-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
12 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Nemotron Nano 9B v2
NVIDIA
2025-08-18
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Nemotron Nano 9B v2
Average Score:64.0%(+33.6%)
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Phi-3.5-mini-instruct
Average Score:30.4%
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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-mini-instruct
1 providers
Azure
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Nemotron Nano 9B v2
Avg Score:64.0%(+33.6%)
Providers:0
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Phi-3.5-mini-instruct
Avg Score:30.4%
Providers:1