As a cloud computing-based, service-oriented new logistics service model, cloud logistics service (CLS) has gradually become one of the main directions for logistics development. In view of the efficient integration and optimization problem of massive task requirements and massive resources under the CLS platform, this paper constructs a cooperative logistics distribution model of hazardous chemicals based on the information sharing of CLS platform and the predictability of distribution planning. The genetic algorithm (GA) was used to solve the model. Besides, the results of the cooperative distribution model of hazardous chemicals were compared with the traditional independent distribution model. The comparison results show that the cooperative model constructed for the distribution of hazardous chemicals in this paper is effective and feasible, and the total cost of the optimization algorithm is reduced by 30% than that of traditional distribution model. This enables the logistics enterprises to meet the logistics service demand of hazardous chemicals with low cost, high efficiency and high safety logistics transportation and distribution.