The litmus test for any model is to use historical empirical data as inputs to the model, and see how well it predicts what in fact occurred. The climate models have a pretty dismal record on that score, and most of them produce worse results with historical data than with random input data, which is a strong indicator of bias in the model.
But they just quadruple down on it any time they're challenged.