Artificial Analysis launches AA-3D benchmark to rank AI models on interactive 3D scenes

Artificial Analysis has a new way to test frontier AI models: ask them to build a 3D world, then let humans decide whose world is better. The independent AI benchmarking firm announced AA-3D on 12 October 2026. The benchmark measures how well models can generate interactive 3D scenes from written briefs, with results ranked by human judges using an Elo-style rating system. How AA-3D works A model receives a text brief describing a scene. It then has to produce a functional three.js experience from that description. For the uninitiated, three.js is a JavaScript library used to render 3D graphics in a web browser. The model is not drawing a picture of a scene. It is writing the code that builds one. Those outputs are then run in an offline sandbox environment. A recruited panel casts blind pairwise preference votes. Judges see two outputs side by side, without knowing which model made which, and pick the one they prefer. Those head-to-head results feed an Elo-style ranking. A familiar playbook from Artificial Analysis AA-3D is not the firm’s first experiment with human preference as a yardstick. The most recent example is AA-Video-T2V v2.0, which launched around 30 September 2026. Th...