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Gemini 2.0 Flash Thinking vs MedGemma 4B IT
Comprehensive side-by-side LLM comparison
MedGemma 4B IT leads with 18.7% higher average benchmark score. Overall, MedGemma 4B IT is the stronger choice for coding tasks.
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Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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.
3 months newer
Gemini 2.0 Flash Thinking
2025-01-21
MedGemma 4B IT
2025-05-20
Average performance across 10 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:22.3%
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MedGemma 4B IT
Average Score:41.0%(+18.7%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash Thinking
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.0 Flash Thinking
0 providers
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MedGemma 4B IT
0 providers
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Gemini 2.0 Flash Thinking
Avg Score:22.3%
Providers:0
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MedGemma 4B IT
Avg Score:41.0%(+18.7%)
Providers:0