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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 1.5% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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NVIDIA
Llama 3.1 Nemotron Nano 8B was created as a compact variant optimized by NVIDIA, designed to bring Llama 3.1 capabilities to more efficient deployments. Built with NVIDIA's efficiency optimizations, it serves applications requiring strong performance with reduced resource requirements.
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Microsoft
Phi-4 Mini Reasoning was developed to incorporate extended thinking capabilities into the ultra-compact Phi-4 Mini architecture. Built to demonstrate that reasoning enhancements can be applied even to very small models, it brings analytical depth to resource-constrained environments.
1 month newer
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
Phi 4 Mini Reasoning
Microsoft
2025-04-30
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Average performance across 2 common benchmarks
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Llama 3.1 Nemotron Nano 8B V1
Average Score:74.8%(+1.5%)
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Phi 4 Mini Reasoning
Average Score:73.3%
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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:74.8%(+1.5%)
Providers:0
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Phi 4 Mini Reasoning
Avg Score:73.3%
Providers:0