Model Comparison

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

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.

Phi 4 Reasoning

Microsoft

Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). The model shows particular specialization in code tasks with an average performance of 76.7%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Llama-3.3 Nemotron Super 49B v1

NVIDIA

2025-03-18

Phi 4 Reasoning

Microsoft

2025-04-30

1 month newer

Average performance across 3 common benchmarks

Llama-3.3 Nemotron Super 49B v1

+3.8%

Average Score:71.1%

Phi 4 Reasoning

Average Score:67.3%

Performance comparison across key benchmark categories

Llama-3.3 Nemotron Super 49B v1

math

+20.0%

96.6%

code

+14.6%

91.3%

general

71.8%

Phi 4 Reasoning

math

76.6%

code

76.7%

general

+2.5%

74.3%

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 Reasoning

2025-03-01

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 Reasoning

0 providers

Llama-3.3 Nemotron Super 49B v1

+3.8%

Avg Score:71.1%

Providers:0

Phi 4 Reasoning

Avg Score:67.3%

Providers:0