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Gemini 1.5 Pro vs MedGemma 4B IT
Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 42.0% higher average benchmark score. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
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Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 2024, 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 year newer
Gemini 1.5 Pro
2024-05-01
MedGemma 4B IT
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 30 common benchmarks
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Gemini 1.5 Pro
Average Score:55.6%(+42.0%)
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MedGemma 4B IT
Average Score:13.7%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
2023-11-01
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 1.5 Pro
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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MedGemma 4B IT
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Gemini 1.5 Pro
Avg Score:55.6%(+42.0%)
Providers:1
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MedGemma 4B IT
Avg Score:13.7%
Providers:0