The AI model used differs by task

 

I found this simple graph that matches how I use AI models. There is not one single provider that works best. The choice of AI model will differ by the task. Given these differences, I will sometimes use more than one model for he same task by asking the same questions or using the same prompts across several models and then comparing the results. Claude is easy to work with, but ChatGPT will sometimes provide more useful answers. Gemini and Co-Pilot are easy to use because of their integration with workflow, although their answers for more complex questions are not as clear.

While good at answering quick questions, their usage is harder to intergrate with normal quant work.