---
title: "Discussion on \"Do I need all that LLM reasoning?\" | Hashnode"
description: "Discussion on \"Do I need all that LLM reasoning?\". An experiment with GPT-6 Luna on 240 puzzles."
url: "https://hashnode.com/posts/do-i-need-all-that-llm-reasoning/6af21089fe40bd207d8a50e6"
---

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# [Do I need all that LLM reasoning?](https://breakingai.hashnode.dev/do-i-need-all-that-llm-reasoning?utm_source=hashnode&utm_medium=feed)

An experiment with GPT-6 Luna on 240 puzzles.

4d ago · 10 min read · breakingai.hashnode.dev  
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-   [#ai](https://hashnode.com/tag/ai)
-   [#artificial-intelligence](https://hashnode.com/tag/artificial-intelligence)
-   [#generative-ai](https://hashnode.com/tag/generative-ai)
-   [#llm](https://hashnode.com/tag/llm)
-   [#machine-learning](https://hashnode.com/tag/machine-learning)

## Written by

[Yiannis Gatsoulis](https://hashnode.com/@gatsoulis)

@gatsoulis

  
[View profile](https://hashnode.com/@gatsoulis)

Been breaking AI since Y2K

I'm an AI scientist and engineer with over 20 years in the field, from a PhD in robotics and AI to building systems in pharma, quick commerce, and fintech. I like turning research ideas into things that work in production. On BreakingAI, I put AI tools and techniques through hands-on experiments and share what holds up and what breaks.

## Responses 1

Markdown supported · ⌘↵ to post

[Kartik N V J K](https://hashnode.com/@kartik-nvj)

[3d ago](https://hashnode.com/posts/do-i-need-all-that-llm-reasoning/6af21089fe40bd207d8a50e6/comment/6af35582f452f9a8a3de438c)

Dividing by 1.4736 when the rate required multiplication is the example that settled it for me, a perfect evaluation of the wrong operation. I expected low effort plus tools to be the budget answer, and your 2.15x token multiplier for 92% against 96% at plain high effort reads the opposite way. Did the nine puzzles the calculator flipped from correct to wrong share anything, like the extra tool turns burying an original constraint?
