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 Mini

Microsoft

Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Phi 4 Mini

Microsoft

2025-02-01

Llama-3.3 Nemotron Super 49B v1

NVIDIA

2025-03-18

1 month newer

Average performance across 2 common benchmarks

Llama-3.3 Nemotron Super 49B v1

+48.5%

Average Score:77.5%

Phi 4 Mini

Average Score:29.0%

Performance comparison across key benchmark categories

Llama-3.3 Nemotron Super 49B v1

math

+24.4%

96.6%

general

+10.9%

71.8%

Phi 4 Mini

math

72.2%

general

60.8%

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

2024-06-01

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

0 providers

Llama-3.3 Nemotron Super 49B v1

+48.5%

Avg Score:77.5%

Providers:0

Phi 4 Mini

Avg Score:29.0%

Providers:0