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title: Twilight of the Gods. Fable and 10 more LLMs on a Code...
description: An experiment comparing 11 LLMs (including GPT-5.4, GPT-5.5, Fable-5, Opus-4.7, DeepSeek-4-pro, and several Chinese models) on a real-world code reorganization...
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og:description: An experiment comparing 11 LLMs (including GPT-5.4, GPT-5.5, Fable-5, Opus-4.7, DeepSeek-4-pro, and several Chinese models) on a real-world code reorganization...
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# Twilight of the Gods. Fable and 10 more LLMs on a Code Reorganization Task. Comparison.

**[ITNEXT](https://daily.dev/sources/itnext)** · 36 min read · 2 upvotes · 0 comments

## Summary

An experiment comparing 11 LLMs (including GPT-5.4, GPT-5.5, Fable-5, Opus-4.7, DeepSeek-4-pro, and several Chinese models) on a real-world code reorganization task: refactoring a 'god node' in a LangGraph agent. Each model first proposed an architectural split of a 350-line plan node, then evaluated all proposals. Three approaches were used to identify the best proposal generator and best analyst: score aggregation, thesis-based comparison, and ranking medoid analysis. Fable-5 produced the most thorough analysis and GPT-5.5 best predicted consensus rankings. The takeaway is that for architecture generation, GPT or Fable are strong defaults, but multiple cheap generations from Chinese models can approximate expensive flagships. For evaluation, GPT-5.5 is best for quick picks; Fable-5 or Fable+GPT-5.5 for deep analysis. Full responsibility cannot yet be offloaded to any single model.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://itnext.io/twilight-of-the-gods-fable-and-10-more-llms-on-a-code-reorganization-task-comparison-81c28e751a52>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#architecture](https://daily.dev/tags/architecture), [#ai-agents](https://daily.dev/tags/ai-agents), [#langgraph](https://daily.dev/tags/langgraph)

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