In order to facilitate the comparison of wheat model algorithms and multi-algorithm integrated simulation, a wheat model algorithm integration platform (WMAIP) was established by referring to the main module algorithms of domestic and foreign mainstream crop models (CERES-Wheat, APSIM-Wheat, WheatSM, WOFOST, SWAT, etc.). The method for simulation phenology integrated two algorithms with “wheat clock” model method and thermal time method based on WheatSM and APSIM-Wheat phenology module, respectively. The method for simulation biomass integrated three algorithms with carbon assimilation (CA), canopy photosynthesis (CP) and radiation use efficiency (RUE) based on WOFOST, APSIM-Wheat and WheatSM biomass modules, respectively. The method for simulation yield formation integrated three algorithms with harvest index (HI), grain filling (GF) and biomass remobilization (BR) based on SWAT, APSIM-Wheat and WheatSM grain yield modules, respectively. Six representative simulation models were constructed based on the model platform. The parameters of model were calibrated and verified by using field observation data of sowing date experiment from 2017 to 2019 in Wuqiao, Hebei Province and literature data of sowing date coupling irrigation experiment from 2011 to 2014. Finally, different algorithms for specific modules were compared. The results showed that simulated values of different algorithms in each module could be used to represent measured values with a reasonable error range. Therefore, the NRMSE values of phenology, above ground biomass, yield and soil water storage were ranged from 0.56% to 4.00%, from 16.13% to 18.72%, from 12.48% to 18.95% and from 10.78% to 11.63%, respectively. The effect simulated by multi-model platform was better than that of the single model. In the phenology module, the simulation of duration from sowing to jointing by thermal time method was better, while the simulation of durations from sowing to anthesis and from sowing to maturity were poorer than that by “wheat clock” model method. In the biomass module, the three algorithms were the best models to predict the biomass of wheat, but the simulated biomass of CP method was higher under high radiation conditions. In the yield formation module, the variation trend of yield simulated by the three algorithms was consistent, but the simulation results by BR method was rather better than that by others. In general, the WMAIP platform integrated multiple algorithms for specific modules to simulate soil water storage and biological indicators of winter wheat well. The application potential of this platform was great in comparison and improvement of wheat model algorithms, integrated simulation and assessment of climate change impacts.