Or rather, more analogously, a self-driving car that has a range of 10 000 miles but sometimes makes mistakes when driving vs a self-driving car with a range of 800 miles that never makes mistakes. Once you've have a taste of intelligence it's hard to give up.

However, in many applications there is a limit on how intelligent you need the LLM to be. I have found I am able to fall back to the cheaper and faster GPT-3.5 to do the grunt work of forming text blobs into structured json within a chain involving GPT-4 for higher-level functions.