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DeepSeek-V3 0324 vs MedGemma 4B IT
Comprehensive side-by-side LLM comparison
MedGemma 4B IT leads with 4.8% 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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DeepSeek
DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). It supports a 328K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents DeepSeek'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 month newer
DeepSeek-V3 0324
DeepSeek
2025-03-25
MedGemma 4B IT
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 12 common benchmarks
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DeepSeek-V3 0324
Average Score:29.4%
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MedGemma 4B IT
Average Score:34.1%(+4.8%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3 0324
1 providers
Novita
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MedGemma 4B IT
0 providers
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DeepSeek-V3 0324
Avg Score:29.4%
Providers:1
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MedGemma 4B IT
Avg Score:34.1%(+4.8%)
Providers:0