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Llama-3.3 Nemotron Super 49B v1 vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Llama-3.3 Nemotron Super 49B v1 leads with 3.8% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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 Reasoning was developed to incorporate extended analytical thinking into the Phi-4 architecture, designed to spend more time on complex problem-solving. Built to combine compact model efficiency with reasoning depth, it represents Microsoft's exploration of thoughtful small models.
1 month newer
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
Phi 4 Reasoning
Microsoft
2025-04-30
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Average performance across 3 common benchmarks
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Llama-3.3 Nemotron Super 49B v1
Average Score:71.1%(+3.8%)
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Phi 4 Reasoning
Average Score:67.3%
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Knowledge Cutoff
Training data recency comparison
Llama-3.3 Nemotron Super 49B v1
2023-12-31
Phi 4 Reasoning
2025-03-01
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 Reasoning
0 providers
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Llama-3.3 Nemotron Super 49B v1
Avg Score:71.1%(+3.8%)
Providers:0
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Phi 4 Reasoning
Avg Score:67.3%
Providers:0