T3Bench provides 300 text prompts across three complexity levels to assess text-to-3D generation methods. It proposes two automatic evaluation metrics: a quality metric combining multi-view text-image scores with regional convolution to detect quality and view inconsistency, and an alignment metric using multi-view captioning with LLM evaluation to measure text-3D consistency. The benchmark integrates with ThreeStudio for generating 3D content from prompts and provides a standardized framework for comparing progress in the text-to-3D domain.