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Llama 3.1 Nemotron Nano 8B V1 vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning leads with 10.5% higher average benchmark score. Overall, Phi 4 Reasoning is the stronger choice for coding tasks.
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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 Reasoning was developed to incorporate extended analytical thinking into the Phi-4 architecture, designed to spend more time on complex problem-solving. Built to combine compact model efficiency with reasoning depth, it represents Microsoft's exploration of thoughtful small models.
1 month newer
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
Phi 4 Reasoning
Microsoft
2025-04-30
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Average performance across 3 common benchmarks
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Llama 3.1 Nemotron Nano 8B V1
Average Score:60.2%
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Phi 4 Reasoning
Average Score:70.7%(+10.5%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
Phi 4 Reasoning
2025-03-01
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 Reasoning
0 providers
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Llama 3.1 Nemotron Nano 8B V1
Avg Score:60.2%
Providers:0
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Phi 4 Reasoning
Avg Score:70.7%(+10.5%)
Providers:0