Mixed Refrigerant Joule Thomson (MRJT) Cryocoolers operating with Nitrogen Hydrocarbon (N2-HC) mixtures are quite popular for low-temperature applications in the range of 80-230 K. MRJT cryocoolers require very high effectiveness heat exchangers for the system to operate at the design temperature. Estimating two-phase heat transfer coefficients and two-phase pressure drop is critical for designing heat exchangers used in MRJT cryocoolers. Prediction of two-phase heat transfer coefficients (HTC) and pressure drop is challenging for wide boiling mixtures even today as they are susceptible to various parameters such as mass flux, geometry, thermophysical properties of the fluid, and operating conditions. Different two-phase heat transfer models, such as homogeneous, physics-based, semi-empirical correlations, and machine learning models, have been evaluated on more than 10,000 experimental data points available in the open literature. A comparison of two-phase heat transfer coefficients estimated with different models, including a few machine learning models, will be presented.