Despite the substantial effectiveness of fiber-reinforced polymer (FRP) confinement system on concrete column behavior, there remains a critical need for reliable predictive models to assess the axial load-bearing capacity of FRP-confined concrete. This paper presents a comprehensive reliability analysis (RA) of a recently developed predictive model for axial load capacity. The model employs a nonlinear regression formula to estimate the expected compressive strength of FRP-confined concrete columns and incorporates a resistance reduction factor for practical design applications. A concise introduction to the reliability analysis methodology is provided. The calibrated reduction factor was integrated into the predictive model, and its performance was evaluated using a dataset of 2117 test cases. The results were compared with predictions made by the design model outlined in ACI 440.2R. The comparison demonstrates that the proposed model, combined with the calibrated resistance factor, yields more reliable and cost-effective predictions, offering a promising alternative for designers in practice.