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

Gemma 3 12B
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 63.8% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). 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.

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.

Gemma 3 12B
2025-03-12

MedGemma 4B IT
2025-05-20
2 months newer
Performance Metrics
Context window and performance specifications

Gemma 3 12B

MedGemma 4B IT
Performance comparison across key benchmark categories

Gemma 3 12B

MedGemma 4B IT
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3 12B
DeepInfra

MedGemma 4B IT

Gemma 3 12B

MedGemma 4B IT