I thought the biggest advantage of having multiple AI models in one place would be better answers.
After spending time with @OpenGradient Chat, I'm not sure thats actually the main benefit.
What stood out was how much context switching disappeared.
Before, comparing outputs meant bouncing between different interfaces, re-entering prompts, and trying to remember why one response felt better than another. None of those actions improved the result directly. They were just workflow overhead.
Having multiple models accessible through the same environment changes that rhythm a bit. The question stops being "where should I run this prompt?" and becomes "which reasoning path is more useful?"
That sounds small.
But after a few days, I noticed I was spending less time managing tools and more time evaluating ideas.
The catch is that easier access can create a different problem. When every model is one click away, experimenting becomes effortless, and endless experimentation isn't always the same thing as making progress.
Efficiency or distraction in a more convenient form??