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Llama-3.3 Nemotron Super 49B v1 vs Phi 4
Comprehensive side-by-side LLM comparison
Llama-3.3 Nemotron Super 49B v1 leads with 11.7% 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-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.
3 months newer
Phi 4
Microsoft
2024-12-12
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 2 common benchmarks
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Llama-3.3 Nemotron Super 49B v1
Average Score:77.5%(+11.7%)
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Phi 4
Average Score:65.8%
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Knowledge Cutoff
Training data recency comparison
Llama-3.3 Nemotron Super 49B v1
2023-12-31
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-3.3 Nemotron Super 49B v1
0 providers
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Phi 4
1 providers
DeepInfra
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Llama-3.3 Nemotron Super 49B v1
Avg Score:77.5%(+11.7%)
Providers:0
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Phi 4
Avg Score:65.8%
Providers:1