BuildingBench Tests Coding Agents at 3D Building Generation; Stealth Model Claims 10x Token Savings
Lianhuiq · x · 2026-09-17
EnactraAI introduced BuildingBench, evaluating whether coding agents can turn real-world images into coherent 3D buildings and at what cost.
- GPT-6 Astra scored highest in their comparison while costing 80% less than Fable 5.1.
- DeepSeek V4.1 Flash delivered strong quality at a median cost of just $2.31 per building.
- The team also teased a stealth model, Union Alpha, claiming building performance on par with DeepSeek 4.1 Flash using only 1/10 the tokens. It's free to try for a week on OpenRouter, OpenCode, and Cline; the team behind it is unknown.
Related event: Enactra Launches BuildingBench for Agent-Driven 3D Building Reconstruction(5 posts)→
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