Model Comparison

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

Google

MedGemma 4B IT

Google

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.

Microsoft

Phi-3.5-vision-instruct

Microsoft

Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). The model shows particular specialization in general tasks with an average performance of 75.9%. 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 2024, it represents Microsoft's latest advancement in AI technology.

Microsoft

Phi-3.5-vision-instruct

Microsoft

2024-08-23

Google

MedGemma 4B IT

Google

2025-05-20

9 months newer

Performance comparison across key benchmark categories

Google

MedGemma 4B IT

general
59.5%
vision
56.1%
Microsoft

Phi-3.5-vision-instruct

general
+16.4%
75.9%
vision
+1.4%
57.5%

Provider Availability & Performance

Available providers and their performance metrics

Google

MedGemma 4B IT

0 providers
Microsoft

Phi-3.5-vision-instruct

0 providers
Google

MedGemma 4B IT

Avg Score:0.0%
Providers:0
Microsoft

Phi-3.5-vision-instruct

Avg Score:0.0%
Providers:0