The article compares different models for analyzing extreme values when we know whether the extreme value index is positive or negative. It shows that using a generalized Pareto distribution is equivalent to a specific model when the extreme value index is negative, leading to better results. When the extreme value index is positive, using a generalized Pareto distribution may be better in certain cases, depending on a second-order parameter and the extreme value index itself.