MedGemma 4B IT
Multimodal
Zero-eval
#1MIMIC CXR
#1DermMCQA
#1PathMCQA
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by Google
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About
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.
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Timeline
AnnouncedMay 20, 2025
ReleasedMay 20, 2025
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Specifications
Capabilities
Multimodal
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License & Family
License
Health AI Developer Foundations terms of use
Performance Overview
Performance metrics and category breakdown
Overall Performance
7 benchmarks
Average Score
58.5%
Best Score
88.9%
High Performers (80%+)
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All Benchmark Results for MedGemma 4B IT
Complete list of benchmark scores with detailed information
| MIMIC CXR | multimodal | 0.89 | 88.9% | Self-reported | |
| DermMCQA | text | 0.72 | 71.8% | Self-reported | |
| PathMCQA | multimodal | 0.70 | 69.8% | Self-reported | |
| SlakeVQA | multimodal | 0.62 | 62.3% | Self-reported | |
| VQA-Rad | multimodal | 0.50 | 49.9% | Self-reported | |
| CheXpert CXR | image | 0.48 | 48.1% | Self-reported | |
| MedXpertQA | multimodal | 0.19 | 18.8% | Self-reported |