Running GLM 5.3 Models Locally to Build 3D Scenes in Blender via BlenderMCP
A developer successfully ran quantized versions of the GLM 5.3 and GLM 5.3 Flash models locally using multi-GPU setups to generate a detailed 3D penthouse scene in Blender via BlenderMCP. The experiment compared the performance of both models, showing that the Flash version started generating objects much faster and adhered more accurately to the requested room dimensions. This demonstration highlights the growing capability of local, open-source LLMs to act as agentic assistants in complex 3D modeling workflows. It showcases how Model Context Protocol (MCP) integrations like BlenderMCP can bridge the gap between AI reasoning and professional creative software. Running the Q4 quantized models locally required massive hardware setups, using 4x RTX PRO 6000 WS GPUs for the ~190-200GB Flash model and 6x for the ~450-470GB base model. While the base GLM 5.3 model spent nearly 22 minutes thinking before placing its first object, GLM 5.3 Flash began working in just 10 seconds and completed the task with fewer output tokens.
## BACKGROUND
GLM 5.3 is a state-of-the-art open-source LLM that achieves high performance on agentic tasks through extensive post-training on top of the GLM-5.2 base. BlenderMCP is an implementation of the Model Context Protocol (MCP) that allows LLMs to interact directly with Blender's 3D environment to execute modeling commands.