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Gemma 3 12B vs MedGemma 4B IT
Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 36.8% higher average benchmark score. Overall, Gemma 3 12B is the stronger choice for coding tasks.
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Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). 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 12B
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 12B
Average Score:49.2%(+36.8%)
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MedGemma 4B IT
Average Score:12.4%
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 12B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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MedGemma 4B IT
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Gemma 3 12B
Avg Score:49.2%(+36.8%)
Providers:1
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MedGemma 4B IT
Avg Score:12.4%
Providers:0