Use of AI is bringing efficiencies in replacing previously laborious field- testing with scaled item parameter pre- calibration, especially in language assessment. However, gaps in research exist in replicating this accomplishment for mathematics assessment items with visual content. This study explores the methodological options of using AI in pre-calibrating multimodal mathematics items.