Model Comparison

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

Gemma 2 9B

Google

Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). The model shows particular specialization in reasoning tasks with an average performance of 79.7%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.

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.

Gemma 2 9B

Google

2024-06-27

Llama 3.1 Nemotron Nano 8B V1

NVIDIA

2025-03-18

8 months newer

Average performance across 1 common benchmarks

Gemma 2 9B

Average Score:52.4%

Llama 3.1 Nemotron Nano 8B V1

+32.2%

Average Score:84.6%

Performance comparison across key benchmark categories

Gemma 2 9B

math

52.6%

code

48.5%

general

+11.4%

66.4%

Llama 3.1 Nemotron Nano 8B V1

math

+42.8%

95.4%

code

+33.5%

82.0%

general

54.9%

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

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemma 2 9B

0 providers

Llama 3.1 Nemotron Nano 8B V1

0 providers

Gemma 2 9B

Avg Score:52.4%

Providers:0

Llama 3.1 Nemotron Nano 8B V1

+32.2%

Avg Score:84.6%

Providers:0