Like @jpsamaroo said, technically, having a higher accuracy to your ode solution gives you a more accurate gradient. Here’s a relevant link about the numerics:
But for parameter estimation and MinimallyDisruptiveCurves accurate gradients might not be necessary, as long as you have a differentiable cost function that’s meaningful.