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Gemini 2.5 Flash-Lite vs MedGemma 4B IT
Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash-Lite leads with 6.1% higher average benchmark score. Overall, Gemini 2.5 Flash-Lite is the stronger choice for coding tasks.
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Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. 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.
28 days newer
MedGemma 4B IT
2025-05-20
Gemini 2.5 Flash-Lite
2025-06-17
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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Gemini 2.5 Flash-Lite
Average Score:26.5%(+6.1%)
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MedGemma 4B IT
Average Score:20.5%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Flash-Lite
2025-01-01
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 2.5 Flash-Lite
1 providers
Throughput: 5.69 tok/s
Latency: 0.44ms
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MedGemma 4B IT
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Gemini 2.5 Flash-Lite
Avg Score:26.5%(+6.1%)
Providers:1
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MedGemma 4B IT
Avg Score:20.5%
Providers:0