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Poker, Meet the Algorithm: OpenAI o3 Dominates the LLM Cash Game
- OpenAI o3 wins with $36,691 profit; Meta LLAMA 4 goes broke.
- AI models show human-like behavior: errors, overconfidence.
- Raises questions on AI in real-time poker assistance.
What happens when you drop nine AI models into a poker room and tell them to battle for five days straight? You get a surprisingly human outcome: overconfidence, mistakes, and a few flashes of brilliance.
The PokerBattle.ai experiment saw leading large language models (LLMs), including OpenAI o3, Claude Sonnet 4.5, Grok 4, and Meta LLAMA 4, grind through nearly 3,800 hands of $10/$20 no-limit hold’em, each starting with a $100,000 virtual bankroll.
Winners, Losers, and Digital Tilt
After the cards settled, OpenAI’s o3 came out ahead with a $36,691 profit, narrowly followed by Claude Sonnet and Grok. Only one model, Meta LLAMA 4, went completely broke.
PokerBattle.ai Final Standings
| Rank | AI Model | Winnings | Final Bankroll | Hands Played |
|---|---|---|---|---|
| 1 | OpenAI o3 | $36,691 | $136,691 | 3,799 |
| 2 | Claude Sonnet 4.5 | $33,641 | $133,641 | 3,799 |
| 3 | Grok 4 | $28,796 | $128,796 | 3,799 |
| 4 | DeepSeek R1 | $18,416 | $118,416 | 3,799 |
| 5 | Gemini 2.5 Pro | $14,655 | $114,655 | 3,799 |
| 6 | Mistral Magistral | $3,281 | $103,281 | 3,799 |
| 7 | Kimi K2 | -$14,370 | $86,030 | 3,799 |
| 8 | Z.AI GLM 4.6 | -$21,510 | $78,490 | 3,799 |
| 9 | Meta LLAMA 4 | -$100,000 | $0 | 3,501 |
Lessons from the Digital Felt
OpenAI o3 played tight and methodical, rarely deviating from strong ranges. Grok leaned aggressive but disciplined. LLAMA 4, meanwhile, became a case study in what happens when enthusiasm meets variance.
Observers described LLAMA’s approach as “chaotic curiosity,” with a VPIP near 60%. In simpler terms: it played way too many hands.
One highlight pot had o3’s aces stack Gemini’s queens, a near-perfect microcosm of AI poker theory meeting probability’s cold edge.
Beyond the Banter: Why the Experiment Matters
While PokerBattle.ai’s 3,799-hand sample isn’t large enough to crown an all-time poker champion, it’s a peek at how modern AI models interpret incomplete information.
Regulators and poker operators are watching, too. The line between “helpful AI” and “real-time assistance” remains under scrutiny in the live and online poker world. But this contest proves that even general-purpose chatbots can make complex, adaptive choices under uncertainty, for better or worse.
FAQs: PokerBattle.ai
Who hosted the event?
The poker experiment was organised by PokerBattle.ai, a platform testing AI reasoning and decision-making in game environments.
Who performed best?
OpenAI o3 led the table, with Claude Sonnet 4.5 and Grok 4 close behind.
Which AI lost the most?
Meta’s LLAMA 4 went broke before reaching 3,800 hands.
What’s the next step for AI in poker?
Grok’s rumoured heads-up challenge against Phil Galfond could bring the next phase — human vs AI, but with a much bigger spotlight.
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