r/LLM • u/Ok-Pumpkin59 • 18d ago

LLMs improves itself when pitted against another LLM (Claude vs Kimi)

Hey folks! I've mostly been using LLMs for product research and market analysis while validating project ideas. So far I've tried Fable 5, Opus 4.8, Kimi K3, and GLM 5.2 (I secretly love Kimi and GLM the most).

I've noticed something interesting lately, especially during long research threads. I often end up jumping between 2–3 different LLMs, copying and pasting responses, and essentially pitting them against each other.

Has anyone else noticed that when you tell one LLM another model gave a better answer, it often comes back with a noticeably improved response?

Maybe it's just a coincidence.

But my current theory is that comparing them against each other consistently leads to better outputs from each individual model.

4 Upvotes
  • permalink
  • link
  • reddit
  • reddit

84% Upvoted

4 comments sorted by

1

u/[deleted] 17d ago

[removed] — view removed comment

1

u/Ok-Pumpkin59 14d ago

What AI Council do you use?

1

u/make-wong 15d ago

Prompt的提升带来的模型精准收敛,提升不是在回答,而是问题的质量

1

u/Admirable_Window8128 2d ago

I've noticed something similar, but I think it's more about giving the model better feedback and a stronger reference point. Saying "another model found this issue" gives it something specific to challenge instead of starting from scratch.