Gene expression programming (GEP) is a kind of phenotype/genotype based evolutionary computation. Code reuse is an important issue in GEP. Various methods are used in current literature to achieve this task. In this paper, we compared six GEP based algorithms by experiments. We proved that although it’s possible invent different kinds of code reuse strategies, current available strategies are powerful and efficient.