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Dwarkesh Patel releases the Blood on the Clocktower AI benchmark

1 reports1 sources9 hr agoUpdated

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Dwarkesh Patel built a multi-agent social deduction benchmark using Blood on the Clocktower and published model rankings. He said he spent about $20,000 in API credits to build the test framework, running a total of 386 matches; in each match, the good team consisted entirely of copies of one model, and the evil team consisted entirely of copies of another model. The results show that GPT-6 Astra, released in September 2026, is currently the strongest model, about 430 Elo higher than Claude Opus 4.6, released in February, with a win rate of about 92%. Patel released the code, invited others to verify it themselves, and said he would update the rankings at clocktowerbench.com as new models are released.

AI overview based on source reports · Updated 8 hr ago

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Nov 6
  1. Dwarkesh Patel
    The benchmark where AIs have to lie to win

    The author built a Blood on the Clocktower benchmark, spending about $20,000 in API credits on 386 games, to test AI social deception, multi-agent coordination and long-horizon reasoning. GPT-6 Astra ranked best, roughly 430 Elo points above Claude Opus 4.6, with OpenAI models notably stronger on the good side because they weigh evidence more skeptically. The code and a playable website are available at clocktowerbench.com.

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