UniG2U-Bench: Do Unified Models Advance Multimodal Understanding?

Researchers introduce UniG2U-Bench, a comprehensive benchmark testing whether unified multimodal AI models that can generate content actually understand better than traditional vision-language models. The study of over 30 models reveals that unified models generally underperform their base counterparts, though they show improvements in spatial intelligence and visual reasoning tasks.