The paper considers the problems of evaluating the efficiency of task distribution algorithms and results aggregation methods on the crowdsourcing platform model. The relevance of these problems is due to the need to improve the efficiency and reliability of distributed computing, as well as to reduce the time of task execution on the crowdsourcing platform. A simulation mathematical model of the crowdsourcing platform was proposed and implemented. Simulation modeling was carried out for several different scenarios of the crowdsourcing platform, including those with malicious influences. The results of the operation of various task distribution algorithms and result aggregation methods under various scenarios are discussed. Based on the simulation modeling results, a comparative analysis of task distribution methods was carried out, as well as a comparative analysis of result aggregation methods.