This study evaluates the simulation capabilities of 16 models with varying resolutions from the HighResolution Model Intercomparison Project（HighResMIP）in reproducing warm-season precipitation over the eastern slope of the Qinghai-Xizang Plateau，using the CN05. 1 dataset as observational reference. Through comparative analysis of outputs from multiple models against observational data，this study elucidates model strengths and limitations in capturing spatiotemporal variability，precipitation intensity，and terrain-related mechanisms. Results indicate that high-resolution climate models demonstrate reasonable accuracy in simulating annual and warm-season precipitation spatial patterns，though notable inter-model discrepancies persist. Three models （CMCC-CM2-HR4，CMCC-CM2-VHR4，FGOAL-f3-H）successfully replicate the observed increasing trend in annual precipitation，while others exhibit stable or decreasing trends. Persistent model deficiencies emerge in simulating precipitation frequency and intensity：all models systematically underestimate light precipitation events（<1 mm∙d-1）while overestimating heavy precipitation frequency（>4 mm∙d-1）. Medium-to-low-resolution models show a systematic phase lag of approximately 30 days in diurnal precipitation cycles compared to observations. In contrast，the high-resolution models performed better in simulating precipitation frequency than the medium low resolution group. Based on comprehensive evaluation of temporal distribution，frequency characteristics，and model skill scores，the ECWMF model demonstrates superior performance，whereas the FGOAL-f3-H model exhibits significant negative biases.