Aquaculture belongs to one of the fastest growing industries in food production. Fish farming implies ensuring optimal conditions for maintaining vital functions. Sea bream, Sparus aurata, is the most important and abundant species cultivated in the Mediterranean. It belongs to the Sparidae family, which during the last two decades has shown the fastest and most significant growth in the breeding sector. One of the most demanding technological procedures at the cage fish farm is feeding, which can significantly affect the health of the farmed fish, as well as the quality of the product. In order to be able to calculate the required amount of food in a certain period (daily ration), it is necessary to know the biomass of the fish, the average size of the fish and the temperature of the breeding medium. Under ideal circumstances, feeding produces the best results when the fish are fed close to satiety. Well-measured feeding greatly contributes to achieving optimal feed conversion and fish growth, as well as reducing the impact of farming on the environment. Estimating the maximum ration is one of the fundamental parameters in models for estimating growth and food consumption in aquaculture, which is also the goal of this work, i.e. to compare the model with existing models. The maximum ration was estimated based on the monitoring of growth parameters and food consumption in one generation of sea bream from 6-350g. The model was compared with the model proposed by Seginer (2016.) based on the research results of other authors. Validation of the model was done on the generation of 2018. The fish were fed every day 2-8 times depending on the size. Feeding was carried out in such a way that the fish were offered food several times a day. Once a week, full-day feeding was carried out, with the help of which 80% of the total amount that the fish ate to satiety was determined for the rest of the feeding days. The collected data were statistically processed and converted into a formal model for estimating the maximum ration in growing conditions. Estimates based on the model in this paper as well as measurements in the conducted experiment give significantly higher values than the recommendation given by Seginer (2016.) based on literature references.