This presentation compares convergence between Sawtooth Software's CBC/HB and Stan's HMC. The simulation study evaluates the convergence speed, mixing efficiency, and accuracy of posterior inference for both methods. The findings highlight the strengths and limitations of each approach, and the presentation concludes with implications for computational efficiency, inference accuracy, and the selection of appropriate software for Bayesian modeling.