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 3n E4B Instructed
Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
Gemma 2 27B
2024-06-27
Gemma 3n E4B Instructed
2025-06-26
12 months newer
Performance Metrics
Context window and performance specifications
Gemma 2 27B
Gemma 3n E4B Instructed
Average performance across 3 common benchmarks
Gemma 2 27B
Gemma 3n E4B Instructed
Performance comparison across key benchmark categories
Gemma 2 27B
Gemma 3n E4B Instructed
Gemma 3n E4B Instructed
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 2 27B
Gemma 3n E4B Instructed
Together
Gemma 2 27B
Gemma 3n E4B Instructed