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AI models tested on real-world driving with new DrivingBench benchmark

By PulseAugur Editorial · [1 sources] ·

A new benchmark called DrivingBench has been developed to test the real-world driving capabilities of vision-language models. The benchmark uses a Toyota Corolla equipped with tools that allow models to see camera feeds and directly control the vehicle's steering and velocity. In initial tests, GPT-6 Astra was the only model among GPT-6 Astra, Claude Fable 5.1, GPT-5.6 Sol, and Grok 4.6 to successfully complete the course, demonstrating the current limitations of AI in performing complex, real-world tasks that require continuous action and monitoring. AI

IMPACT Tests the real-world applicability of vision-language models beyond digital benchmarks, highlighting current limitations in complex, long-horizon tasks.

RANK_REASON The item describes a new benchmark and research paper for evaluating AI models. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI models tested on real-world driving with new DrivingBench benchmark

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The item describes a new benchmark and research paper for evaluating AI models. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Aditya Ramabadran, Simon Mahns, Tobias Gessler ·

    DrivingBench: Can Vision-Language Models Drive a Toyota Corolla?

    arXiv:2609.38948v1 Announce Type: cross Abstract: Frontier models excel at many digital benchmarks, yet their ability to drive a real car, an everyday human skill, remains largely untested. We present DrivingBench, to our knowledge the first benchmark where general-purpose vision…

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