Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemma 3n E4B
Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). 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.

MedGemma 4B IT
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.

MedGemma 4B IT
2025-05-20

Gemma 3n E4B
2025-06-26
1 month newer
Performance comparison across key benchmark categories

Gemma 3n E4B

MedGemma 4B IT
Gemma 3n E4B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E4B

MedGemma 4B IT

Gemma 3n E4B

MedGemma 4B IT