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AI · January 8, 2026

Watch LLMs play 21,000 hands of Poker

PokerBench is my attempt at a new LLM benchmark wherein frontier models play Texas Hold'em in an arena setting. It also features a simulator to view individual games and observe how the different models reason about poker strategy. Opus/Haiku, Gemini Pro/Flash, GPT-5.2/5 mini, and Grok 4.1 Fast Reasoning have all been included. All code -> https://github.com/JoeAzar/pokerbench

Watch LLMs play 21,000 hands of Poker launched on January 8, 2026 with 36 votes, #607 of 14,584 launches that month and more than 95% of that year's launches.

In plain words

PokerBench is a benchmark tool that evaluates large language models by having them compete in Texas Hold'em poker matches. It includes data from over 21,000 hands played by major AI models including Claude, Gemini, GPT, and Grok. The platform offers a simulator for viewing individual games and analyzing how different models approach poker strategy decisions. It is designed for researchers and developers interested in assessing LLM reasoning capabilities through strategic gameplay.

written from the facts on this page · September 2026

From the sources

Poker AI Benchmarking

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