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.

o4-mini

OpenAI

o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Llama 3.1 Nemotron Nano 8B V1

NVIDIA

2025-03-18

o4-mini

OpenAI

2025-04-16

29 days newer

Average performance across 2 common benchmarks

Llama 3.1 Nemotron Nano 8B V1

Average Score:50.6%

o4-mini

+36.5%

Average Score:87.1%

Performance comparison across key benchmark categories

Llama 3.1 Nemotron Nano 8B V1

math

+11.1%

95.4%

general

54.9%

o4-mini

math

84.3%

general

+9.5%

64.4%

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

o4-mini

2024-05-31

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

o4-mini

0 providers

Llama 3.1 Nemotron Nano 8B V1

Avg Score:50.6%

Providers:0

o4-mini

+36.5%

Avg Score:87.1%

Providers:0