Model Comparison

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

NVIDIA

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.

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 3.1 Nemotron Nano 8B 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 3.1 Nemotron Nano 8B V1

+1.5%
Average Score:74.8%
Microsoft

Phi 4 Mini Reasoning

Average Score:73.3%

Performance comparison across key benchmark categories

NVIDIA

Llama 3.1 Nemotron Nano 8B V1

math
+0.8%
95.4%
general
+0.2%
54.9%
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 3.1 Nemotron Nano 8B 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 3.1 Nemotron Nano 8B V1

0 providers
Microsoft

Phi 4 Mini Reasoning

0 providers
NVIDIA

Llama 3.1 Nemotron Nano 8B V1

+1.5%
Avg Score:74.8%
Providers:0
Microsoft

Phi 4 Mini Reasoning

Avg Score:73.3%
Providers:0