Model variants let you store a set of parameter values or initial conditions that are different from the base model configuration. Using variants, you can easily simulate alternate scenarios and what-if hypotheses without creating multiple copies of the model. For example, you can use model variants to specify parameter values for different cell lines, drug candidates, or animal species.