Same Repo Audit, Five Claude Models: No Single Winner, Each Fills a Different Role

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A controlled experiment tested five Anthropic Claude models — Opus 4.8, Fable 5, Sonnet 5, Sonnet 4.6, and Haiku 4.5 — on an identical four-phase engineering audit of the LangChain Python monorepo. Each model received the same prompt and setup, and was required to produce a structured audit report with file-level citations and severity labels. Results showed no single model outperformed all others: Opus excelled at threat modeling, Fable at turning findings into a prioritized backlog, while Sonnet versions complemented each other on security and operational gaps. Haiku, despite appearing to score highest, contained a factual error about CI lockfile validation that was only caught by cross-referencing another model's output. The experiment concludes that selecting a Claude model tier should be treated as a workflow decision, with different models assigned to distinct roles rather than one expensive tier used for everything.

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