标题: Kimi K3.1 Pro Comes to 3D Make: Generate 3D Models from Text, Sketches, and Reference Images; Download GLB for 3D Printing [打印本页] 作者: admin 时间: 2026-10-26 10:51 标题: Kimi K3.1 Pro Comes to 3D Make: Generate 3D Models from Text, Sketches, and Reference Images; Download GLB for 3D Printing Nanjixiong learned on October 24, 2026, that Moonshot AI released its new open-source large model, Kimi K3.1 Pro, with 3D creation as a key focus of the update.
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Give the model a text prompt, sketch, or reference image and it can infer shape, proportions, and spatial relationships, then write scripts to drive modeling software such as Blender and Rhino. It is particularly suited to mechanical parts, architectural models, and custom furniture. The accompanying “3D Make” feature is now available on the web and in the app, supports online preview and editing, and lets users download GLB models directly for 3D printing.
In a test by 36Kr, the model received a hand-drawn three-view sketch and spent about 40 minutes processing it. It produced a 608-line Blender script, an editable .blend file, a 1.7 MB GLB model, and a webpage that could be opened. The dimensional error was about 1 mm.
The model has roughly 3 trillion parameters, supports a 1-million-token context window, and has native visual understanding. A high-speed version released at the same time generates output at about 2–3 times the speed of the standard version. The complete model weights are scheduled for release before November 4.
Nanjixiong's observations
Large models are advancing the “describe an idea → get a model” workflow, potentially lowering the modeling barrier for 3D-printed products such as mechanical parts and custom furniture. However, before slicing, users still need to check whether generated models meet requirements for wall thickness, supports, and print accuracy.
Sources: Science and Technology Daily, 36Kr, and OFweek (October 24, 2026)
AI-translated from an article by Kuaixiong on Nanjixiong, originally published on 2026-10-26. Text and images retain the original source attribution. Read the original Chinese article
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