Ethiopia is particularly vulnerable to the effects of variability and climate change. This study evaluates the ability of seven (7) Global Climate Models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) to simulate the historical maximum and minimum temperatures at daily and monthly time scale during 1995-2014, for five climate zones of Ethiopia. The study’s purpose is to find which models have the best ability to simulate it. Both observation and model datasets are employed to compare with GCMs, evaluated by three performance metrics namely, percent bias (PBIAS), root mean square error (RMSE), and correlation coefficient (r). GCMs are ranked by using Comprehensive rating index (CRI) method. Results showed that the performance of GCMs vary from one climate zone to another. For simulation of GCMs at daily and monthly time scale for maximum temperature, EC-Earth3-veg, for temperate and alpine, MRI-ESM2-0 and MPI-ESM1-2-LR, for desert and tropical AEZs respectively, ACCESS-ESM-1-5 for sub-tropical AEZ of Ethiopia have the best performance, while MIROC6 performs the worst for all study cases in this study area. And CNRM-CM6-1, for all five (dessert, tropical, sub-tropical, temperate and alpine) AEZs of Ethiopia, has the best performance among all GCMs for simulation of minimum temperature at daily and monthly time scale. The average monthly and daily patterns of minimum and maximum temperature have also revealed resemblance with observed data over all AEZs of Ethiopia. The better performing CMIP6 models at respective AEZ can be used for different climate change and adaptation studies.