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.
Gemma 3 4B
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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.
Gemma 2 27B
2024-06-27
Gemma 3 4B
2025-03-12
8 months newer
Performance Metrics
Context window and performance specifications
Gemma 2 27B
Gemma 3 4B
Average performance across 4 common benchmarks
Gemma 2 27B
Gemma 3 4B
Performance comparison across key benchmark categories
Gemma 2 27B
Gemma 3 4B
Gemma 3 4B
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 2 27B
Gemma 3 4B
DeepInfra
Gemma 2 27B
Gemma 3 4B