Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 30.3% higher average benchmark score. MedGemma 4B IT supports multimodal inputs. Overall, Gemma 2 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.
MedGemma 4B IT is a multimodal language model developed by Google. The model shows competitive results across 7 benchmarks. It excels particularly in MIMIC CXR (88.9%), DermMCQA (71.8%), PathMCQA (69.8%). 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.
10 months newer
Gemma 2 27B
2024-06-27
MedGemma 4B IT
2025-05-20
Average performance across 23 common benchmarks
Gemma 2 27B
MedGemma 4B IT
Available providers and their performance metrics
Gemma 2 27B
MedGemma 4B IT
Gemma 2 27B
MedGemma 4B IT