Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 15.7% higher average benchmark score. Gemma 3 27B supports multimodal inputs. Gemma 3 27B is available on 2 providers. Overall, Gemma 3 27B is the stronger choice for coding tasks.
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%). 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 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%). 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.
8 months newer
Gemma 2 27B
2024-06-27
Gemma 3 27B
2025-03-12
Context window and performance specifications
Average performance across 38 common benchmarks
Gemma 2 27B
Gemma 3 27B
Available providers and their performance metrics
Gemma 2 27B
Gemma 3 27B
DeepInfra
Gemma 2 27B
Gemma 3 27B
Gemma 2 27B
Gemma 3 27B
Novita