Behavioral Rigidity Spectrum: Why Some LLMs Resist Correction and Others Don't

First quantitative measurement of behavioral rigidity across frontier LLMs. Correctability ranges from 5% (Claude Sonnet 4.5) to 20% (GPT-5.2-instant). Claude models are consistently the most rigid, followed by GPT flagships, with distilled variants showing highest malleability. Proposes that rigidity reflects training methodology depth.