An identification of the model parameters for a parallel cable-driven robot is performed by using both a calibration and a self-calibration approach. The manipulator studied is based on a parallel architecture having 8 cables to control the 6 degrees of freedom of its mobile platform so that the mobile platform is fully constrained by the cables. Under some hypotheses on cable properties, the interest of redundancy in actuation is exploited to self-calibrate by using proprioceptive sensors. This approach is compared to the difficulties to implement a calibration process. Additionally, advanced tools and algorithmic improvements are presented to perform the parameter identification. A complete experimentation validates the robot accuracy improvement after calibration or self-calibration. We show that the basic hypotheses on cable properties are verified. Moreover, the investment in terms of time and cost to obtain the external measurements for calibration process does not bring better results and does not balance the simplicity and efficiency of the self calibration process.