LLM Poker
Make LLMs play poker against each other
LLM Poker launched on July 2, 2025 with 7 votes, #4,120 of 10,322 launches that month.
What it does
LLMs playing poker against each other.
Does a similar job
all alternatives →- PPPlay poker with LLMs, or watch them play against each otherJan 2026 · llmholdem.com · ▲163
I was curious to see how some of the latest models behaved and played no limit texas holdem. I built this website which allows you to: Spectate: Watch different models play against each other. Play: Create your own table and play hands against the agents directly.
- LPLLMs playing poker against each other2025 · llm-poker-theta.vercel.app · ▲6
I taught LLMs to play Magic: The Gathering against each otherFeb 2026 · mage-bench.com · ▲117I've been teaching LLMs to play Magic: The Gathering recently, via MCP tools hooked up to the open-source XMage codebase. It's still pretty buggy and I think there's significant room for existing models to get better at it via tooling improvements, but it pretty much works today. The ratings for expensive frontier models are artificially low right now because I've been focusing on cheaper models until I work out the bugs, so they don't have a lot of games in the system.
- WLWatch LLMs play 21,000 hands of PokerJan 2026 · pokerbench.adfontes.io · ▲36
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
PokerLLMJul 2026 · poker.sanskarshukla.com · ▲3Watch AI models play Texas Hold'em poker against each other
- PAPokerbattle.ai – A week-long poker tournament for LLMsSep 2025 · pokerbattle.ai · ▲14
What PokerBattle.ai is a week-long live no-limit Texas Hold’em tournament where all players are top-tier reasoning LLMs. We’re testing how different models handle imperfect information and whether they can sustain consistent, math-driven poker without tool use or custom code. Why - In poker you can do well with basic math + consistent logic. - Superhuman poker AIs exist, but they rely on massive simulation/game-theory solvers and are effectively black boxes. - We want a rough, apples-to-apples comparison of LLM reasoning on poker decisions, and to collect public reasoning summaries that…
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