The study of landslide susceptibility evaluation is of great significance for landslide disaster prevention and control. Multi-model coupling is widely used in landslide vulnerability assessment, but there are few studies on combining Weight of Evidence (WOE) and Support Vector Machine (SVM) model in landslide vulnerability assessment. Taking Weixin County in the mountainous area of northeast Yunnan as the research area, 12 landslide evaluation factors such as slope were selected to establish the landslide susceptibility evaluation index system. According to the weight of evidence, the evidence weight contrast, landslide grid proportion and hierarchical grid proportion were calculated, and the index factors were graded. The WOE-SVM model was constructed to calculate Landslide susceptibility index (LSI), and GIS platform was used to obtain the susceptibility classification map of the study area. Results show that the landslide is extremely high, and high rock mainly river basins and human engineering activities frequently area, SVM and WOE - SVM model evaluation results was basically in accord with the landslide spatial distribution, but the coupling model accuracy is higher than single SVM model, the evaluation result is more reasonable and effective, but for local governance and landslide disaster prevention provide a certain reference value.