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DrivingBench: GPT-6 Astra is the first frontier LLM to complete a cone course driving a real Toyota Corolla

★★after cutoffbenchmarkOpenAIconfidence: medium

DrivingBench, published around Sept 23, 2026 by Aditya Ramabadran, Simon Mahns and Tobias Gessler, gives frontier LLMs out-of-the-box control of a real Toyota Corolla's steering, accelerator and brakes through tool calls and scores them on a fixed cone course. GPT-6 Astra finished the course (5 min 22 s, on its second attempt); Claude Fable 5.1, Grok 4.6 and GPT-5.6 Sol reached only 6–11% of the course.

Key facts

What happened

A three-person team wired a production car to an LLM tool interface and asked general-purpose models, without driving-specific training, to steer around cones. Only GPT-6 Astra finished. The site does not give a run date; the date here is the HN post.

Why it matters

A small but vivid probe of general models' embodied, closed-loop control. It shows a jump between model generations, and also how far such models are from real-time driving.

Changelog

  • 2026-09-30: created (sweep 2026-09-29, HN 316 points)

Related events

  1. OpenAI releases GPT-6 Astra, its first GPT-6 model ★★★★★
  2. Anthropic releases Claude Fable 5.1 and Claude Mythos 5.1 ★★★★★

Sources (2)

id: 2026-09-23-drivingbench-llms-drive-real-car · updated 2026-09-30 · open in the interactive timeline