Abstract: To establish growth predictive model of Listeria monocytogenes in Litopenaeus Vannamei at low temperature of-20, 0, 2, 4, 6 ℃ and to provide the theory basis for the effective control of Listeria monocytogenes at low temperature.The curves were fitted by Logisitic, Sweibull, Gompertz and Baranyi function as primary model by origin8.5 and DMFit software.Then the optimal primary model was determined by the analysis of R2.The Arrhenius and regression equation were used to fit the the relationship between temperature and the calculated growth rate ( μm) and lag-time ( λ) as secondary model. The results showed that the model of Logisitic was determined as the optimal primary model due to the R2 was higher than 0.98, which can describe the growth dynamic of Listeria monocytogenes at low temperature.The results that the R2 of Arrhenius was 0.9903 and of regression equation was 0.9997, and the p was lower than 0.001, it showed that the corresponding second order kinetic model of L.monocytogenes was also effective.The prediction model was verified when temperature was 5 ℃.The bias factor and accuracy factor of prediction model were 1.0152 and 1.0798, respectively.These results proved that the prediction model were valid and reliable.