Illex argentinus is not only one of the important species in the marine ecosystem, but also a fishing target of the most important squid-jigging fishery in Southwest Atlantic Ocean. Catch per unit effort (CPUE) is an important index for fishery abundance, and the standardization of CPUE is an important content in the fishery stock assessment. Based on the catch data from Chinese mainland squid jigging fishery in the southwest Atlantic ocean and marine environmental factors (sea surface temperature, SST; horizontal gradient of sea surface temperature, GSST; sea surface height, SSH) derived from ocean satellite during 2000 to 2010, the Generalized Linear Bayesian models (GLBM), including the interaction terms excluded, fixed effects interaction terms and random effects interaction term, are used to standardize the CPUE for the Chinese Mainland squid-jigging fishery of I. argentinus in the southwest Atlantic Ocean, and the best model is selected based on the lowest DIC (Deviance Information Criterion). The results indicated that the models with random effects interaction term including the variance of latitude, SST, GSST, SSH, month×longitude, year×latitude and month×latitude had the best fit for the Chinese mainland squid-jigging fishery of I. argentinus in the southwest Atlantic Ocean. The CPUE standardized by GLBM is smaller and fluctuated lower than the nominal CPUE. Compared with the result by generalized linear models (GLM) and generalized additive models (GAM), the GLBM seemed to be best for standardization of CPUE for the Chinese Mainland squid-jigging fishery of I. argentinus in the southwest Atlantic Ocean, and our result showed that the standardized CPUE of I. argentinus has been decreased during 2000 to 2010.