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Llama-3.3 Nemotron Super 49B v1 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Llama-3.3 Nemotron Super 49B v1 leads with 36.4% higher average benchmark score. Overall, Llama-3.3 Nemotron Super 49B v1 is the stronger choice for coding tasks.
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NVIDIA
Llama 3.3 Nemotron Super 49B was created through NVIDIA's optimization of Llama 3.3, designed to provide a balanced option with 49 billion parameters. Built to serve as a versatile mid-to-large-scale offering, it combines NVIDIA's customization expertise with Meta's foundation architecture.
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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.
6 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Llama-3.3 Nemotron Super 49B v1
Average Score:82.1%(+36.4%)
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Phi-3.5-mini-instruct
Average Score:45.7%
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Knowledge Cutoff
Training data recency comparison
Llama-3.3 Nemotron Super 49B v1
2023-12-31
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-3.3 Nemotron Super 49B v1
0 providers
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Phi-3.5-mini-instruct
1 providers
Azure
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Llama-3.3 Nemotron Super 49B v1
Avg Score:82.1%(+36.4%)
Providers:0
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Phi-3.5-mini-instruct
Avg Score:45.7%
Providers:1