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 Reasoning

Microsoft

Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). 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 Reasoning

Microsoft

2025-04-30

Google

MedGemma 4B IT

Google

2025-05-20

20 days newer

Performance comparison across key benchmark categories

Google

MedGemma 4B IT

general
+4.7%
59.5%
Microsoft

Phi 4 Mini Reasoning

general
54.8%
Knowledge Cutoff
Training data recency comparison

Phi 4 Mini Reasoning

2025-02-01

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 Reasoning

0 providers
Google

MedGemma 4B IT

Avg Score:0.0%
Providers:0
Microsoft

Phi 4 Mini Reasoning

Avg Score:0.0%
Providers:0