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

Gemma 3 4B
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). 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 4B
2025-03-12

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

Gemma 3 4B

MedGemma 4B IT
Performance comparison across key benchmark categories

Gemma 3 4B

MedGemma 4B IT
Gemma 3 4B
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3 4B
DeepInfra

MedGemma 4B IT

Gemma 3 4B

MedGemma 4B IT