A user compared several large language models, including GPT 5.5, Fable 5, Opus 4.8, Sonnet 5, and GLM5.2, for their ability to generate parametric furniture models. Fable 5 produced the most accurate and cost-effective models, correctly implementing joinery and suggesting practical mounting solutions, despite a minor error in hook direction. GPT 5.5 was fast and efficient but failed to adhere to prompt constraints, resulting in impossible joinery. Opus 4.8 and Sonnet 5 required more iterations and still produced flawed models, while GLM5.2 failed entirely. The evaluation used a custom AI furniture modeling skill called Shopprentice, which includes physics checks for model validity. AI
IMPACT Highlights varying capabilities of LLMs in complex, multi-step generation tasks like 3D modeling.
RANK_REASON User-generated comparison of existing models, not a new release or official benchmark.
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