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MedGemma 4B IT vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 29.2% higher average benchmark score. MedGemma 4B IT supports multimodal inputs. Overall, Phi 4 Mini is the stronger choice for coding tasks.
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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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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.
3 months newer
Phi 4 Mini
Microsoft
2025-02-01
MedGemma 4B IT
2025-05-20
Average performance across 24 common benchmarks
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MedGemma 4B IT
Average Score:17.1%
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Phi 4 Mini
Average Score:46.3%(+29.2%)
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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
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MedGemma 4B IT
0 providers
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Phi 4 Mini
0 providers
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MedGemma 4B IT
Avg Score:17.1%
Providers:0
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Phi 4 Mini
Avg Score:46.3%(+29.2%)
Providers:0