GPT-6 Astra appears to show a "step change" in spatial reasoning based on early benchmarks

Early StationeryBench robotics results show OpenAI's GPT-6 Astra far ahead of Ai2's MolmoAct2 at dual-arm manipulation, completing 7 of 100 tasks versus zero.

A new robotics benchmark called StationeryBench tested OpenAI's GPT-6 Astra against Ai2's MolmoAct2 on five desk-object tasks using identical dual-arm YAM robots over 200 trials. Astra fully completed 7 of 100 tasks with a median progress score of 46 out of 100, while MolmoAct2 completed zero with a median score of 12. Cornell and Google DeepMind researcher Yoav Artzi called the result a 'step change in spatial reasoning' and noted Astra approaches human-level accuracy on the unpublished REMAP benchmark. He speculated OpenAI trained the model on large amounts of 3D data such as Blender scenes, and OpenAI reportedly plans consumer robots.

• Astra completed 7 of 100 StationeryBench tasks with dual-arm YAM robots; MolmoAct2 completed zero
• Median progress scores: Astra 46/100 vs MolmoAct2 12/100 across 200 trials
• Yoav Artzi calls Astra a 'step change in spatial reasoning'; REMAP accuracy nears human level
• Artzi suspects training on large 3D datasets such as Blender scenes; OpenAI weighs consumer robots