Great question. Right now there isn’t a way for us to show an exact credit estimate in-product, since agent behavior varies a lot depending on workflow complexity and context. What we can share is some general guidance: for example, Gemini tends to be less expensive than GPT & Claude, however it depends on which version of the model you're using and what you're using it for.
If you’re looking to optimize for cost, the best approach is usually to run a small set of the same tasks across a couple of different models and compare the cost. That will give you the most reliable signal for your specific agent. Unfortunately we can’t provide a “preview” of credit consumption up front, but there are generally cheaper models available and running a quick test is the most effective way to quantify the trade-offs.