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Llama 3.1 Nemotron 70B Instruct vs Phi 4
Comprehensive side-by-side LLM comparison
Phi 4 leads with 4.6% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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NVIDIA
Llama 3.1 Nemotron 70B was developed by NVIDIA through customization of Meta's Llama 3.1 70B, designed to enhance performance for specific use cases and deployments. Built with NVIDIA's optimizations and fine-tuning expertise, it demonstrates how foundation models can be adapted for specialized applications.
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Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
2 months newer
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
Phi 4
Microsoft
2024-12-12
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Llama 3.1 Nemotron 70B Instruct
Average Score:80.2%
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Phi 4
Average Score:84.8%(+4.6%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron 70B Instruct
2023-12-01
Phi 4
2024-06-01
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 70B Instruct
0 providers
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Phi 4
1 providers
DeepInfra
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Llama 3.1 Nemotron 70B Instruct
Avg Score:80.2%
Providers:0
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Phi 4
Avg Score:84.8%(+4.6%)
Providers:1