It's difficult to be very specific, because this was not a formal experiment.
I was using LLM collaboratively to help me setting up and document a home server. I was using DeepSeek for that matter. I tried some tasks on Claude Code and some on Pi.
Subjectively, I felt that it was marginally "smarter" on Claude Code. It would figure things out better, that sort of thing.
I am still using Pi btw. My current set up is using MiMo on Pi as a planner, ans DS in Claude Code to validate/execute the plan.
I may try moving it all to Pi, but I wonder if I should learn how to better configure the things there.
> I may try moving it all to Pi, but I wonder if I should learn how to better configure the things there.
Honestly if the difference was marginal, I would move to Pi. I just tried layzpi and I had the agent write/compile a hello world in c and it required 20k in tokens. My minimal setup required 5.3k in tokens.
People will say the cost is minimal since this is cached but 15k is a lot since that needs to be reasoned by the LLM. I haven't looked at Claude Code but I read somewhere the system prompt is like 20k so I can see how Claude Code might have seem smarter as what you are working was probably addressed in the system prompt.
For me the bloat is not worth it since I am more interested in the LLM being able to reason better.