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DeepSeek-V3 vs MedGemma 4B IT
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 34.6% higher average benchmark score. MedGemma 4B IT supports multimodal inputs. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, 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.
4 months newer
DeepSeek-V3
DeepSeek
2024-12-25
MedGemma 4B IT
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 27 common benchmarks
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DeepSeek-V3
Average Score:49.8%(+34.6%)
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MedGemma 4B IT
Average Score:15.2%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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MedGemma 4B IT
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DeepSeek-V3
Avg Score:49.8%(+34.6%)
Providers:1
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MedGemma 4B IT
Avg Score:15.2%
Providers:0