Precipitation is one of the most important climate variables . In order to evaluate the simulation performance of CMIP6 global climate models for precipitation in Inner Mongolia , using monthly precipitation data from 115 meteorological stations in Inner Mongolia and the simulated precipitation data of 10 global climate models of CMIP6 datasets from 1980 to 2014 , we analyze and evaluate the simulation accuracy of CMIP6 global climate models for precipitation in Inner Mongolia. The results show that the simulated precipitation of the 10 CMIP6 models can well reflect the spatial and temporal variation of the monthly precipitation in Inner Mongolia , and it has high temporal correlation coefficient with the monthly precipitation observation . The precision of the simulated precipitation in whole Inner Mongolia , and in the semi-humid and semi-arid regions are significantly better than that in the arid and extreme arid regions . The precipitation simulated by most models is overestimated in summer. The spatial distribution shows that the CMIP6 models can simulate the spatial distribution characteristics of the multi-year mean precipitation in Inner Mongolia , which is high in the east and low in the west. CMIP6 models also have better ability to simulate the high and low average annual precipitation , but they overestimate the precipitation over the Alashan Plateau in the west and underestimate the precipitation in the forest region in the Greater Khingan Mountains in the east of Inner Mongolia. Through the comprehensive evaluation of the CMIP6 models , it is found that the ensemble mean simulated precipitation performs best over Inner Mongolia and its climatic subregions . Therefore , the CMIP6 global climate models have better abilities to simulate the spatial and temporal variation of monthly precipitation in Inner Mongolia , and the ensemble mean method is an effective means to improve the accuracy of precipitation simulation by CMIP6 models .