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 4 Mini

Microsoft

Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Microsoft

Phi 4 Mini

Microsoft

2025-02-01

Google

MedGemma 4B IT

Google

2025-05-20

3 months newer

Performance comparison across key benchmark categories

Google

MedGemma 4B IT

general
59.5%
Microsoft

Phi 4 Mini

general
+1.4%
60.8%
Knowledge Cutoff
Training data recency comparison

Phi 4 Mini

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

MedGemma 4B IT

0 providers
Microsoft

Phi 4 Mini

0 providers
Google

MedGemma 4B IT

Avg Score:0.0%
Providers:0
Microsoft

Phi 4 Mini

Avg Score:0.0%
Providers:0