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Gemini 1.0 Pro vs MedGemma 4B IT
Comprehensive side-by-side LLM comparison
Gemini 1.0 Pro leads with 1.6% higher average benchmark score. MedGemma 4B IT supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. 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 1.0 Pro
2024-02-15
MedGemma 4B IT
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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Gemini 1.0 Pro
Average Score:27.2%(+1.6%)
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MedGemma 4B IT
Average Score:25.6%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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MedGemma 4B IT
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Gemini 1.0 Pro
Avg Score:27.2%(+1.6%)
Providers:1
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MedGemma 4B IT
Avg Score:25.6%
Providers:0