Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek-V3.2-Exp
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

MedGemma 4B IT
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.

MedGemma 4B IT
2025-05-20

DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
4 months newer
Performance Metrics
Context window and performance specifications

DeepSeek-V3.2-Exp

MedGemma 4B IT
Average performance across 21 common benchmarks

DeepSeek-V3.2-Exp

MedGemma 4B IT
Performance comparison across key benchmark categories

DeepSeek-V3.2-Exp

MedGemma 4B IT
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3.2-Exp
Novita
ZeroEval

MedGemma 4B IT

DeepSeek-V3.2-Exp

MedGemma 4B IT