Fatigue life prediction has been a main concern in engineering design for decades, particularly for components subjected to thermo-mechanical fatigue (TMF) loadings. Therefore, accurate fatigue life prediction is important to ensure the reliability and integrity of mechanical structures. This study aims to predict the low cycle fatigue life of 316 FR stainless steel under isothermal and thermo-mechanical loading conditions. Finite element analysis (FEA) is initially performed using ABAQUS software to study the cyclic behavior of the specimens under both loading conditions. Subsequently, the fatigue life is assessed using total strain energy density-based approach, considering both Masing and non-Masing methods. The considered strain amplitude levels range from ±0.4% to ±1.2% and temperatures vary from 500°C to 650°C for thermo-mechanical loading, while maintaining a constant temperature of 650°C for isothermal loading. A comparison is made between the predicted results and experimental data from literature in terms of hysteresis loops, total strain energy density and fatigue life. It is found that FEA accurately replicate the cyclic response of this material, and provides satisfactory results for total strain energy density. Furthermore, Masing method is found to achieve most accurate prediction when compared to non-Masing method, demonstrating higher accuracy for isothermal loading compared to TMF.