The present work studied various models for predicting turbulence in the problem of injecting a fluid microjet into the boundary layer of a turbulent flow. For this purpose, the one-equation Spalart-Allmaras (SA), two-equation k-ε and k-ω, multi-equation transition k-kL-ω, transition shear stress transport (SST), and Reynolds stress models were used for solving the steady microjet into the turbulent boundary layer, and their results are compared with experimental results. A comparison of the results indicated that the steady solution methods performed sufficiently well for this problem. Furthermore, it was found that the four-equation transition SST model was the most accurate method for predicting turbulence in this problem. This model predicted the velocity along the x-axis in near- and far-jet locations with about 1% and 5% errors, respectively. It also outperformed the other methods in predicting Reynolds stresses, especially at the center (nearly 5% error). Moreover, the modified four-equation transition SST model has improved the system’s performance in predicting the studied parameters by utilizing Sørensen correlations in predicting 𝑅𝑒𝜃𝑡 (the transition momentum thickness Reynolds number), 𝐹𝑙ength (an empirical correlation that controls the length of the transition region), and 𝑅𝑒𝜃𝑐 (the critical Reynolds number where the intermittency first starts to increase in the boundary layer).