Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 3 27B
Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). The model shows particular specialization in math tasks with an average performance of 78.2%. It supports a 262K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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 3 27B
2025-03-12
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
6 days newer
Performance Metrics
Context window and performance specifications
Gemma 3 27B
Llama 3.1 Nemotron Nano 8B V1
Average performance across 3 common benchmarks
Gemma 3 27B
Llama 3.1 Nemotron Nano 8B V1
Performance comparison across key benchmark categories
Gemma 3 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 3 27B
DeepInfra
Novita
Llama 3.1 Nemotron Nano 8B V1
Gemma 3 27B
Llama 3.1 Nemotron Nano 8B V1