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Llama 3.1 Nemotron Ultra 253B v1 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 Nemotron Ultra 253B v1 leads with 45.6% higher average benchmark score. Overall, Llama 3.1 Nemotron Ultra 253B v1 is the stronger choice for coding tasks.
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NVIDIA
Llama 3.1 Nemotron Ultra 253B was developed as NVIDIA's largest Nemotron variant, designed to provide maximum capability through extensive customization of large-scale foundations. Built with 253 billion parameters and NVIDIA's specialized training, it represents the flagship offering in the Nemotron family.
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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.
7 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
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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 Ultra 253B v1
Average Score:76.0%(+45.6%)
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Phi-3.5-mini-instruct
Average Score:30.4%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Ultra 253B v1
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 Ultra 253B v1
0 providers
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Phi-3.5-mini-instruct
1 providers
Azure
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Llama 3.1 Nemotron Ultra 253B v1
Avg Score:76.0%(+45.6%)
Providers:0
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Phi-3.5-mini-instruct
Avg Score:30.4%
Providers:1