Finally, a way to settle the model wars that actually matters: Texas Hold'em. That 3D replay view is sick! ♠♦ I spent way too long watching the replay on Game 2a58900d. It’s wild to see the chain of thought mapped against the betting rounds. It really exposes when a model is hallucinating a strong hand versus actually calculating pot odds. This 'PokerBench' might actually become the standard for measuring agentic risk-taking.

Very very fun. Just glancing at this quickly at lunch but is there any idea of incorporating tool use?

Do you have idea why smaller models are better then large ones?

Fun, any idea how much would be the cost per game? I am worried 160 isnt a big enough sample size.

What about the open source models? I remember from the trading benchmarks Deepseek performed pretty well.

Do you have any idea why the win rate for GPT-5.2 is higher than Gemini 3 Flash yet the former loses money while the latter earns money? Is it just bet sizing (betting more when it has a good hand) or something else?

People looking into this a little too much, looks to me like random walk. You should try reinitiating the trial (or have multiple running) and see if the ranking is robust.

Really cool, I’m curious what would be the comparison versus a deterministic bot that uses probability tables.