Cost prediction of unmanned air vehicle (UAV) is an important and a considerable problem in the design and development phase of equipment. Since the cost prediction of UAV with few observations has some characteristics like uncertainty, etc., a cost prediction model based on least squares support vector machines (LS - SVM) is presented and applied to both the development cost and the maintenance cost prediction problems in this paper. The results show that the model is of better precision in cost prediction.