Background: Since different grades of gliomas have different treatment programs, prognosis, and survival rates, it’s important to differentiate them effectively. Intravoxel incoherent motion (IVIM) and dynamic contrast-enhanced (DCE) with the two-compartment exchange model (2CXM) have showed great potential for identifying the brain tumors. Materials and Methods: Thirty-nine patients with glioma underwent IVIM and DCE imaging at 3.0T. Quantitative parameters (mean, median, 10^th, 25^th, 75^th and 90^th percentiles) from IVIM (apparent diffusion coefficient (ADC), D, D*, f, and their product fD*) and DCE (v_p, v_e, PS, and F_p) were analyzed. The independent Student’s t-test and Mann-Whitney U-tests were used to assess whether these parameters could distinguish low- from high-grade glioma. Receiver-operating characteristic (ROC) curve analysis and Delong test were performed to determine and compare the diagnostic efficiency of IVIM and DCE parameters in differentiating low- and high-grade gliomas, respectively. Results: Various histogram statistics of IVIM and DCE parameters could differentiate different grades of glioma. v_e and v_p generally yielded higher area under the curve (AUC) values than IVIM parameters, and the differences in AUC values of v_e_mean and IVIM parameters had a statistical significance. Although DCE had higher AUC values than IVIM, they didn’t reach statistical significance. Conclusions: v_e was the best parameter in differential diagnosis of gliomas. IVIM had the similar diagnosis performance with DCE, and both IVIM and DCE-MRI parameters can be used for preoperative grading of gliomas.