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DeepSeek R1 Distill Qwen 32B vs MedGemma 4B IT
Comprehensive side-by-side LLM comparison
MedGemma 4B IT leads with 10.2% higher average benchmark score. MedGemma 4B IT supports multimodal inputs. Overall, MedGemma 4B IT is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. 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.
4 months newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
MedGemma 4B IT
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 11 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:27.0%
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MedGemma 4B IT
Average Score:37.2%(+10.2%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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MedGemma 4B IT
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DeepSeek R1 Distill Qwen 32B
Avg Score:27.0%
Providers:1
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MedGemma 4B IT
Avg Score:37.2%(+10.2%)
Providers:0