Axiom's driving test: only OpenAI's GPT-6 Astra finished a real Corolla course
Three AI engineers at startup Axiom wired general-purpose language models into a Toyota Corolla's cameras and power steering and had them drive to an In-N-Out drive-through, then built a DrivingBench course to compare them. According to TechNews' summary of Crypto Briefing's write-up, only OpenAI's GPT-6 Astra completed the roughly 134.7-metre route, doing so on a second attempt in 5 minutes 22 seconds and burning about 6.6 million tokens, or roughly $7.74–$9.75 per successful run; Anthropic's Claude Fable 5.1 finished 45%, xAI's Grok 11%, and OpenAI's GPT-5.6 Sol also failed. The engineers describe the behaviour as a possible emergent capability from multimodal and spatial-reasoning training, while cautioning that letting a general model steer a two-tonne car is a high-risk experiment.
This unreviewed, hobby-scale test is an amusing data point in the unsolved area of physical reasoning: general models may pick up partial spatial judgement as a by-product of multimodal training.