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ConfirmedSingularity05 Nov, 21:05 UTC

Dwarkesh Patel's Clocktower Bench puts GPT-6 Astra on top of AI models playing a lying-and-detection game

Cover image of Dwarkesh Patel's essay on AI models playing Blood on the Clocktower.
Dwarkesh Patel

Patel ran 386 games of Blood on the Clocktower between models, spending about $20,000 in API credits; he reports Astra wins about 92% of games against Claude Opus 4.6, a roughly 430 Elo gap, with OpenAI's lead mostly on the good side.

Read at Dwarkesh Patel Share

Why it matters

Blood on the Clocktower is a social-deduction game in which an evil team lies to a good team that must find its Demon, so it tests long-horizon coordination, bluffing and evidence weighing together. Patel replaced the human storyteller with a programmatic one and rated 11 models with a Bradley–Terry fit; he says OpenAI's models gained about 580 Elo between GPT-5.4 and GPT-6 Astra, mainly by treating single pieces of evidence more sceptically. A small mixed-team test of Opus 5.5 and GPT-5.6 Sol did better than neither side. Watch for new models added to clocktowerbench.com.

Key facts

  • 386 games with one model as the whole good team and another as the whole evil team
  • Astra wins about 92% of games against Claude Opus 4.6, roughly 430 Elo apart
  • OpenAI models gained about 580 Elo between GPT-5.4 and GPT-6 Astra
  • About $20,000 of API credits spent
  • 11 models rated; 1500 Elo is their average
  • Mixed Opus 5.5 / GPT-5.6 Sol teams played 132 extra games and rated a little below their members' average

Sources

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