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Llama 3.1 Nemotron Nano 8B V1 vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
Llama 3.1 Nemotron Nano 8B V1 leads with 37.6% higher average benchmark score. Overall, Llama 3.1 Nemotron Nano 8B V1 is the stronger choice for coding tasks.
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NVIDIA
Llama 3.1 Nemotron Nano 8B V1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 72.2% across 7 benchmarks. It excels particularly in MATH-500 (95.4%), MBPP (84.6%), MT-Bench (81.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
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Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
1 month newer
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Average performance across 8 common benchmarks
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Llama 3.1 Nemotron Nano 8B V1
Average Score:63.1%(+37.6%)
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Phi 4 Mini Reasoning
Average Score:25.5%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
Phi 4 Mini Reasoning
2025-02-01
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 Nano 8B V1
0 providers
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Phi 4 Mini Reasoning
0 providers
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Llama 3.1 Nemotron Nano 8B V1
Avg Score:63.1%(+37.6%)
Providers:0
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Phi 4 Mini Reasoning
Avg Score:25.5%
Providers:0