LLM AssBench Tests AI Shape Understanding With 3DCG Buttocks
A benchmark called LLM AssBench gives multiple AIs the same instruction to create a realistic, manipulable 3D model of the human buttocks in a single HTML file, then compares the results. The developer, Luigi, released it in September 2026.
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Why it matters
AssBench puts a shape-and-physics task in front of AI models because widely known math and coding problems can already sit in training data, and it adds a planned 40-point scoring system for realism, manipulability, movement, and stability.
Key Facts
- Developer Luigi released LLM AssBench in September 2026.
- AIs are told to create a realistic, manipulable 3D model of the human buttocks in a single HTML file.
- The 3DCG must be rendered with the JavaScript library Three.js without external images or 3D models.
- Results from Anthropic's Claude, OpenAI's GPT, and Google's Gemini are posted on the site.
- 42 generation results, including past versions, are registered on the site.
The site lets visitors line up up to four results to compare, and 42 generation results, including past versions, are registered.
The instruction asks for more than a shape. The model must render the body from waist to thighs with Three.js, use no external images or 3D models, and reproduce skin texture. It also has to make the result rotate when dragged and jiggle softly when clicked.
Results from Anthropic's Claude, OpenAI's GPT, and Google's Gemini are posted on the site. Luigi notes that small AIs can sometimes produce 3DCG close in quality to large ones, and says the evaluation results should make it easier to pick a cheaper AI that still delivers good output.
Written with AI by Yomimono from the 1 cited source below, including Japanese-language reporting where cited. See our editorial policy.
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