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Gemma 3 4B vs MedGemma 4B IT
Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 29.3% higher average benchmark score. Overall, Gemma 3 4B is the stronger choice for coding tasks.
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Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. 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.
2 months newer
Gemma 3 4B
2025-03-12
MedGemma 4B IT
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 33 common benchmarks
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Gemma 3 4B
Average Score:41.7%(+29.3%)
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MedGemma 4B IT
Average Score:12.4%
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Knowledge Cutoff
Training data recency comparison
Gemma 3 4B
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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Gemma 3 4B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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MedGemma 4B IT
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Gemma 3 4B
Avg Score:41.7%(+29.3%)
Providers:1
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MedGemma 4B IT
Avg Score:12.4%
Providers:0