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

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.

Microsoft

Phi 4 Mini

Microsoft

2025-02-01

NVIDIA

Llama 3.1 Nemotron Nano 8B V1

NVIDIA

2025-03-18

1 month newer

Average performance across 1 common benchmarks

NVIDIA

Llama 3.1 Nemotron Nano 8B V1

+28.9%
Average Score:54.1%
Microsoft

Phi 4 Mini

Average Score:25.2%

Performance comparison across key benchmark categories

NVIDIA

Llama 3.1 Nemotron Nano 8B V1

math
+23.2%
95.4%
general
54.9%
Microsoft

Phi 4 Mini

math
72.2%
general
+5.9%
60.8%
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

2024-06-01

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

0 providers
NVIDIA

Llama 3.1 Nemotron Nano 8B V1

+28.9%
Avg Score:54.1%
Providers:0
Microsoft

Phi 4 Mini

Avg Score:25.2%
Providers:0