Preoperative differentiation of glioblastomas and solitary brain metastases may contribute to more appropriate treatment plans and follow-up. However, routine MRI has a very limited ability to distinguish between the two. Mean apparent propagator (MAP)-MRI, as a representative of diffusion MRI technology, is effective in evaluating the complexity and inhomogeneity of the brain microstructure. We developed a series of radiomics models of MAP-MRI parametric maps, routine MRI, combined routine MRI, and combined MAP-MRI parametric maps to compare their performance in the identification of two tumors. Finally, a good performance with the combined MAP-MRI radiomics model was obtained.