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MedGemma 4B IT vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 37.1% higher average benchmark score. MedGemma 4B IT supports multimodal inputs. Overall, Phi-3.5-mini-instruct 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-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
9 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
MedGemma 4B IT
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 38 common benchmarks
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MedGemma 4B IT
Average Score:10.8%
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Phi-3.5-mini-instruct
Average Score:47.9%(+37.1%)
Provider Availability & Performance
Available providers and their performance metrics
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MedGemma 4B IT
0 providers
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Phi-3.5-mini-instruct
1 providers
Azure
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MedGemma 4B IT
Avg Score:10.8%
Providers:0
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Phi-3.5-mini-instruct
Avg Score:47.9%(+37.1%)
Providers:1