Local GLM 5.3 test: Building a 3D penthouse via BlenderMCP
Fun-Meaning-6474 · reddit · 2026-09-01
The author ran GLM 5.3 and GLM 5.3 Flash (Q4 quantized) locally on multiple RTX PRO 6000 WS GPUs to build a 260 sqm luxury duplex penthouse using BlenderMCP, comparing their performance.
Key Findings:
- Prompting: Vague prompts fail; specific architectural parameters (ceiling height, stair rise, PBR material ranges) are required. The model even added unrequested details like book spines.
- Performance: The full GLM 5.3 spent 21 minutes thinking before placing the first object, taking 40m 43s total and consuming 112K tokens. The Flash version started immediately, taking 38m 52s and using only 36K tokens.
- Accuracy: Flash correctly built the 9x8m double-height void, while the full model built it at 9x4.5m despite reporting it correctly. Flash matched the full model on object count and time with a third of the tokens.
The post includes the exact prompt used with dimensions, materials, and furniture specs.
More from coding & agent
- Vibe-coded dashboard leaked franchise financials before anyone logged in — shauntrennery · 2026-10-16
- Fintech HR built a sourcing agent on 60,000 past applicants — 30 qualified candidates in a month — G0NZ0BOY · 2026-10-16
- Orchestrating a 100-image portrait of humanity for aliens with ChatGPT, Argon and p5.brush — dx8xb · 2026-10-16
- 3x DGX Spark cluster runs GLM-5.3-Flash locally behind a proxy, 1.75M tokens/day at 119W — Teknium · 2026-10-16
- Builder's one rule for trusted desktop agents: read freely, but sending, deleting, buying always ask first — No_Fan5310 · 2026-10-16
- GPT-built unifi-simulator makes MikroTik switches appear inside UniFi Network — Pytlicek · 2026-10-16