Fisheries-dependent or -independent data are often limited in fisheries stock assessment, particularly for cephalopod populations. Cephalopods are fast-growing and short-lived ecological opportunists, which contributes to the difficulty of swift data collection, as well as presenting the challenge of modeling fast and flexible population dynamics. Consequently, most cephalopod fisheries are currently managed using precautionary approaches without regular stock assessments, although multiple stock assessment models have been used to evaluate many of these stocks. Under these conditions, stock assessment with limited data becomes a problem that must be solved for the adaptive management and sustainable exploitation of cephalopods. is one of the most important economic cephalopods in the world and is mainly distributed in the southwest Atlantic Ocean. It is also one of the important species targeted by China's mainland and Taiwan squid jigging vessels. In this study, we applied a stochastic surplus production model in continuous time (SPiCT) to assess stocks of cephalopod species in data-limited situations, using stock in Argentina as a case study. SPiCT not only models the dynamics of the fisheries and biomass but also incorporates observation error of biomass indices and catches. The model was fitted to time series of catch and biomass index data during the years 2001 to 2010 under six different scenarios of parameterization. Parameter estimates and stock status from different scenarios were then compared to evaluate the impact of parameterization on fisheries stock assessment. Results showed that the optimal parameterization occurred in Scenario 3, which set the prior distributions of based on previous studies. Under this scenario, the stock was neither overfishing nor overfished in 2010, with lower fishing mortality than the fishing mortality under maximum surplus production and higher stock biomass than the stock biomass under maximum surplus production. The annual total catches were lower than the maximum surplus production. Compared with other continuous surplus production models (e.g., S, F-EDSP, and S-F-EDSP), SPiCT turns out to be more suitable for short-lived species in data-limited situations based on this study. In addition, the initialization of catchability coefficient ) estimation of SPiCT. Optimizing the parameterization of I. argentinus, which needs further investigation.