Language models now drive a robot arm directly: top score 69 on eight tabletop tasks, about 30 minutes and $16 each
AA-Robotics v0.1 puts frontier language models inside coding agent harnesses and gives them direct control of a 6-axis robot arm (5 joints and a gripper) across eight tabletop tasks scored out of 100. Where direct arm control previously lacked a common comparison, five models now run the same zero-shot task set: GPT-6 Astra leads at 69.4, GPT-6.1 Sol scores 64.6, Gemini 4 Argon 55.3, Claude Opus 5.5 48.8 and Claude Fable 5.1 46.3. Models average about 30 minutes per task, roughly 100 times slower than the human baseline, while cost ranges from $1.93 per task for GPT-6.1 Sol to $16.36 for GPT-6 Astra.