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Gemma 3n E2B vs MedGemma 4B IT
Comprehensive side-by-side LLM comparison
Gemma 3n E2B leads with 13.1% higher average benchmark score. Overall, Gemma 3n E2B is the stronger choice for coding tasks.
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Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). 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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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.
1 month newer
MedGemma 4B IT
2025-05-20
Gemma 3n E2B
2025-06-26
Average performance across 18 common benchmarks
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Gemma 3n E2B
Average Score:35.8%(+13.1%)
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MedGemma 4B IT
Average Score:22.8%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B
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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Gemma 3n E2B
0 providers
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MedGemma 4B IT
0 providers
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Gemma 3n E2B
Avg Score:35.8%(+13.1%)
Providers:0
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MedGemma 4B IT
Avg Score:22.8%
Providers:0