def select_optimal_model(models):
    """
    Select the optimal model based on its performance metrics.

    Args:
        models (list): A list of tuples containing model names and their corresponding performance metrics.

    Returns:
        tuple: The name of the optimal model, along with its performance metrics.
    """
    return max(models, key=lambda x: x[1])

# Example usage
models = [('evolved_verified_generate_test_1768680667', 4235.89001196408, 51, 8305.7),
          ('verified_default', 4235.0, 51, 8303.9),
          ('evolved_verified_fib_fast_1769055768', 4235.0, 51, 8303.9)]

optimal_model = select_optimal_model(models)
print(optimal_model)