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Llama 3.1 Nemotron 70B Instruct vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 Nemotron 70B Instruct 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-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.
1 month newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
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Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Llama 3.1 Nemotron 70B Instruct
Average Score:78.3%(+4.6%)
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Phi-3.5-mini-instruct
Average Score:73.6%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron 70B Instruct
2023-12-01
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-3.5-mini-instruct
1 providers
Azure
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Llama 3.1 Nemotron 70B Instruct
Avg Score:78.3%(+4.6%)
Providers:0
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Phi-3.5-mini-instruct
Avg Score:73.6%
Providers:1