Abstract: The choice of solution strategy is closely related to GPS station speed and parameter model estimation. In this paper, 121 GPS reference stations under the land network are selected as the research object, and the akaike information criterion/Bayesian information criterion (AIC/BIC) optimal noise model evaluation criteria are used to discuss GAMIT, Bernese and their combined solution strategy (Comb) on the noise model and velocity estimation of the GPS coordinate sequence. The results show that different calculation strategies will have a certain impact on the GPS station parameter estimation results. In terms of the optimal noise model estimation, the GAMIT and Comb solution results mainly show the characteristics of the flicke noise+white noise (FN+WN) and power-law noise (PL)+WN models. The Bernese solution results show the characteristics of the FN+WN model in the east (E) and north (N) directions, and the characteristics of the PL+WN model in the up (U) direction; the influence of the solution strategy on the speed and speed uncertainty will be more significant in the U direction.