Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

NVIDIA

Llama-3.3 Nemotron Super 49B v1

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

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.

NVIDIA

Llama-3.3 Nemotron Super 49B v1

NVIDIA

2025-03-18

Microsoft

Phi 4 Mini Reasoning

Microsoft

2025-04-30

1 month newer

Average performance across 2 common benchmarks

NVIDIA

Llama-3.3 Nemotron Super 49B v1

+8.3%
Average Score:81.6%
Microsoft

Phi 4 Mini Reasoning

Average Score:73.3%

Performance comparison across key benchmark categories

NVIDIA

Llama-3.3 Nemotron Super 49B v1

math
+2.0%
96.6%
general
+17.0%
71.8%
Microsoft

Phi 4 Mini Reasoning

math
94.6%
general
54.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
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

NVIDIA

Llama-3.3 Nemotron Super 49B v1

0 providers
Microsoft

Phi 4 Mini Reasoning

0 providers
NVIDIA

Llama-3.3 Nemotron Super 49B v1

+8.3%
Avg Score:81.6%
Providers:0
Microsoft

Phi 4 Mini Reasoning

Avg Score:73.3%
Providers:0