I tested 200+ prompts across Gemini and Kimi — here's what actually works

Reddit r/artificial / 5/24/2026

💬 OpinionIdeas & Deep AnalysisTools & Practical Usage

Key Points

  • The author reports that prompt packs written for GPT-3 do not reliably transfer to Gemini and Kimi because the models behave differently in reasoning depth, delimiter handling, and failure modes.
  • Their months-long professional testing suggests Gemini performs better when prompts include explicit output format constraints, while Kimi is more responsive to multi-step chain-of-thought but struggles with vague persona instructions.
  • They found that many “expert prompts” circulating on Twitter fail to work across these models, highlighting the need for model-specific prompt tuning.
  • The piece provides a curated set of prompts that reportedly work, with a link shared in the first comment.

Most prompt packs are written for GPT-3. Gemini and Kimi respond completely differently — longer reasoning chains, different delimiter behavior, different failure modes.

After running these models professionally for months I found:

  1. Gemini responds better to explicit output format constraints.

  2. Kimi loves multi-step chain-of-thought but breaks on vague persona prompts.

  3. Most "expert prompts" from Twitter don't transfer.

I packaged the tested prompts that actually hold up — link in the first comment.

submitted by /u/Affectionate-View292
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