Sensitivity analysis plays an essential role in the processes of crop model localization. It is important to quantify the sensitivity of input parameters of model for crop model calibration and application. In order to quantify the effects of input parameters variation on the sensitivity of CROPGRO-Tomato output variables, the extended Fourier amplitude sensitivity test method was applied to perform global sensitivity analysis. The most sensitive parameters for anthesis, fruit set and maturity date were the photothermal days in the early flowering period (EMFL) among the cultivar parameters, and the average minimum air temperature among climate parameters, while the phenology of tomato was not affected by soil parameters in the model. Among the cultivar parameters, the most sensitive parameters for leaf area index and canopy height was EMFL, while the most sensitive parameters for growth of root and stem was the maximum fraction of daily growth. The growth of root, stem and leaf was affected sensitively by the average maximum air temperature (TMXD) and the soil field capacity (SDUL) among climate and soil parameters, respectively. The most sensitivity parameters for the tops weight at maturity and fresh fruit weight was EMFL, while the most sensitivity parameter for number of fruits at maturity and single fruit weight was maximum weight per seed among cultivar parameters. TMXD and SDUL were also the most sensitivity parameters for tomato production among climate and soil parameters. The research result indicated that EFAST method was a feasible way for CROPGRO-Tomato model calibration and application.