Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 2 27B
Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). The model shows particular specialization in reasoning tasks with an average performance of 82.5%. 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 27B
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 27B
Llama 3.1 Nemotron Nano 8B V1
Performance comparison across key benchmark categories
Gemma 2 27B
Llama 3.1 Nemotron Nano 8B V1
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics
Gemma 2 27B
Llama 3.1 Nemotron Nano 8B V1
Gemma 2 27B
Llama 3.1 Nemotron Nano 8B V1