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DeepSeek-V3 vs MedGemma 4B IT
Comprehensive side-by-side LLM comparison
MedGemma 4B IT supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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MedGemma 4B was developed as a domain-specialized open-source model focused on medical and healthcare applications. Built with 4 billion parameters and training data relevant to medical contexts, it provides researchers and healthcare developers with a foundation model tailored to biomedical language understanding and generation.
4 months newer
DeepSeek-V3
DeepSeek
2024-12-25
MedGemma 4B IT
2025-05-20
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Performance Metrics
Context window and performance specifications
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:0.0%
Providers:1
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MedGemma 4B IT
Avg Score:0.0%
Providers:0