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Gemini 2.0 Flash-Lite vs MedGemma 4B IT
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash-Lite leads with 17.9% higher average benchmark score. Overall, Gemini 2.0 Flash-Lite is the stronger choice for coding tasks.
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Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). 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.
3 months newer
Gemini 2.0 Flash-Lite
2025-02-05
MedGemma 4B IT
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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Gemini 2.0 Flash-Lite
Average Score:38.3%(+17.9%)
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MedGemma 4B IT
Average Score:20.5%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash-Lite
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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Gemini 2.0 Flash-Lite
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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MedGemma 4B IT
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Gemini 2.0 Flash-Lite
Avg Score:38.3%(+17.9%)
Providers:1
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MedGemma 4B IT
Avg Score:20.5%
Providers:0