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title: Fable 5 vs. GPT-5.6 Sol on an NP-Hard Problem: Does...
description: A hands-on benchmark comparing Claude Fable 5 and GPT-5.6 Sol on an unpublished NP-hard fiber-network optimization problem (KIRO), with and without each tool&#x27;s...
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og:description: A hands-on benchmark comparing Claude Fable 5 and GPT-5.6 Sol on an unpublished NP-hard fiber-network optimization problem (KIRO), with and without each tool&#x27;s...
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# Fable 5 vs. GPT-5.6 Sol on an NP-Hard Problem: Does /goal Help?

**[Hacker News](https://daily.dev/sources/hn)** · 7 min read · 1 upvotes · 0 comments

## Summary

A hands-on benchmark comparing Claude Fable 5 and GPT-5.6 Sol on an unpublished NP-hard fiber-network optimization problem (KIRO), with and without each tool's native /goal mode. Fable 5 outperformed Sol significantly — lower scores, tighter variance, and a best overall result of 31,934. The /goal feature won 4 of 6 individual trials but made average performance worse for both models due to occasional large regressions when a bad solver strategy was amplified by extra time. The post also digs into the fundamentally different /goal implementations: Claude Code uses a separate Haiku evaluator that reads only the transcript, while Codex CLI persists goal state in SQLite and lets the working model self-assess with tool access. The key takeaway is that a persistence loop can win most trials while degrading mean performance — what matters is the quality of what the loop keeps doing, not the loop itself.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://charlesazam.com/blog/fable-5-gpt-5-6-sol-goal>

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---

Tags: [#ai-coding](https://daily.dev/tags/ai-coding), [#claude](https://daily.dev/tags/claude), [#gpt](https://daily.dev/tags/gpt)

[View this post on daily.dev](https://daily.dev/posts/fable-5-vs-gpt-5-6-sol-on-an-np-hard-problem-does-goal-help--fdnctyoir)

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