+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Llama-3.3 Nemotron Super 49B v1 vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
Llama-3.3 Nemotron Super 49B v1 leads with 45.3% higher average benchmark score. Overall, Llama-3.3 Nemotron Super 49B v1 is the stronger choice for coding tasks.
+
+
+
+
NVIDIA
Llama-3.3 Nemotron Super 49B v1 is a language model developed by NVIDIA. This model demonstrates exceptional performance with an average score of 81.0% across 7 benchmarks. It excels particularly in MATH-500 (96.6%), MT-Bench (91.7%), MBPP (91.3%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
+
+
+
+
Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
1 month newer
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Average performance across 8 common benchmarks
+
+
+
+
Llama-3.3 Nemotron Super 49B v1
Average Score:70.8%(+45.3%)
+
+
+
+
Phi 4 Mini Reasoning
Average Score:25.5%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Llama-3.3 Nemotron Super 49B v1
2023-12-31
Phi 4 Mini Reasoning
2025-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Llama-3.3 Nemotron Super 49B v1
0 providers
+
+
+
+
Phi 4 Mini Reasoning
0 providers
+
+
+
+
Llama-3.3 Nemotron Super 49B v1
Avg Score:70.8%(+45.3%)
Providers:0
+
+
+
+
Phi 4 Mini Reasoning
Avg Score:25.5%
Providers:0