Model Comparison

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

Llama 3.1 Nemotron Nano 8B V1

NVIDIA

Llama 3.1 Nemotron Nano 8B V1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 72.2% across 7 benchmarks. It excels particularly in MATH-500 (95.4%), MBPP (84.6%), MT-Bench (81.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.

Phi 4 Reasoning Plus

Microsoft

Phi 4 Reasoning Plus is a language model developed by Microsoft. It achieves strong performance with an average score of 78.9% across 11 benchmarks. It excels particularly in FlenQA (97.9%), HumanEval+ (92.3%), IFEval (84.9%). 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 3.1 Nemotron Nano 8B V1

NVIDIA

2025-03-18

Phi 4 Reasoning Plus

Microsoft

2025-04-30

1 month newer

Average performance across 3 common benchmarks

Llama 3.1 Nemotron Nano 8B V1

Average Score:60.2%

Phi 4 Reasoning Plus

+17.1%

Average Score:77.3%

Performance comparison across key benchmark categories

Llama 3.1 Nemotron Nano 8B V1

math

+13.5%

95.4%

code

+5.2%

82.0%

general

54.9%

Phi 4 Reasoning Plus

math

81.9%

code

76.8%

general

+24.4%

79.3%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Llama 3.1 Nemotron Nano 8B V1

2023-12-31

Phi 4 Reasoning Plus

2025-03-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Llama 3.1 Nemotron Nano 8B V1

0 providers

Phi 4 Reasoning Plus

0 providers

Llama 3.1 Nemotron Nano 8B V1

Avg Score:60.2%

Providers:0

Phi 4 Reasoning Plus

+17.1%

Avg Score:77.3%

Providers:0