As 2025 transitions into 2026, the poker world is abuzz with AI developments, particularly following a unique online poker tournament featuring various Large Language Models (LLMs). Organized by Max Pavlov, this event utilized top AI players, including OpenAI, Anthropic, and Google’s Gemini, competing with play money in a no-limit hold’em format. Each AI started with a $100,000 bankroll and provided real-time decision-making insights via PokerBattle.ai.
The results revealed OpenAI as the champion, winning $36,691, while Meta’s LLAMA performed poorly, going broke after 3,501 hands. Analysis by Octopi Poker’s CEO, Victoria Livschitz, highlighted the shared weaknesses among the AIs, such as over-aggressiveness, poor range management, and difficulties in bluffing.
Overall, while LLMs show potential in poker, they still struggle with strategic depth and decision-making. For an in-depth analysis, explore the full findings linked below.
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