Moonshot AI Releases Kimi K3.1 Pro, Strengthening 3D Modeling and Spatial Reasoning
Moonshot AI has released Kimi K3.1 Pro, strengthening 3D creation and spatial reasoning capabilities, and launched the 3D Make feature, which supports online preview and editing of 3D models, downloading files for 3D printing, or exporting as videos and Live Photos. The model is the first product in the K3.1 series, supports a 1 million Token context, and can write and run scripts for software such as Blender, SolidWorks, and Rhino to complete modeling. Official BenchCAD results show that, in a test subset consisting of 1,000 files, the voxel IoU after tool invocation was 92.7%, versus 72.8% without tools; the model is currently integrated into the Kimi web client, Kimi Work, Kimi Code, and the API, the Highspeed version outputs at roughly 2 to 3 times the speed of the standard version, and the full model weights are planned for release before November 4.
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The original text presents the gap in voxel IoU before and after tool invocation on BenchCAD, which can be used to gauge the model's degree of tool dependence in spatial modeling tasks.
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Recently, Moonshot AI released Kimi K3.1 Pro, strengthening 3D creation and spatial reasoning capabilities, and launched the 3D Make feature, which supports online preview and editing of 3D models, downloading files for 3D printing, or exporting as videos and Live Photos. This model is the first product in the K3.1 series and supports a 1 million Token context.
Moonshot AI stated that after users provide text descriptions, sketches, or reference images, the model can infer object shapes, proportions, and spatial relationships, complete modeling by writing and running scripts for professional software such as Blender, SolidWorks, and Rhino, further modify components, adjust geometric structures and materials, and integrate the results into Three.js scenes or game engines.
In terms of applications, the model focuses on supporting parametric modeling, covering scenarios such as mechanical parts, architectural models, configurable products, and custom furniture. The official 3D asset cases showcased involve brand promotional videos, games, and interactive web pages, and demonstrate the ability to complete project development in combination with engines such as Unity, Unreal Engine, and Godot.
In terms of evaluation, the BenchCAD results published by Moonshot AI show that in a test subset consisting of 1,000 files, K3.1 Pro achieved a voxel intersection-over-union of 92.7% after invoking tools, and 72.8% under the no-tool condition. This evaluation reconstructs 3D models from multi-view rendered images by generating CAD code, examining spatial understanding and geometric reconstruction performance.
Currently, K3.1 Pro has been integrated into the Kimi web version, Kimi Work, Kimi Code, and the API. The official statement says that the simultaneously launched Highspeed version, with the same model capabilities, has an output speed about 2 to 3 times that of the standard version, and the full model weights are planned to be released before November 4.
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