This study measures the effectiveness of including images to predict discrimination parameters of reading items. The results suggest that providing images to language models is beneficial. By using both image and text, Lasso regressions (Tibshirani, 1996) could explain data better and random forests (Breiman, 2001) showed higher accuracy.