Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny leads with 22.6% higher average benchmark score. Overall, DeepSeek VL2 Tiny is the stronger choice for coding tasks.
DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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.
5 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
MedGemma 4B IT
2025-05-20
Average performance across 21 common benchmarks
DeepSeek VL2 Tiny
MedGemma 4B IT
Available providers and their performance metrics
DeepSeek VL2 Tiny
MedGemma 4B IT
DeepSeek VL2 Tiny
MedGemma 4B IT