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Show HN: Watch LLMs play 21,000 hands of Poker

pokerbench.adfontes.io

11–20 of 20 posts

Re: Show HN: Watch LLMs play 21,000 hands of Poker

#11
post #9

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

I didn't incorporate any open weights/source models just to limit the number of API providers I had to juggle, but it is just a config change if somebody wants to try a run with them.

Re: Show HN: Watch LLMs play 21,000 hands of Poker

#12
post #7
post #5

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

It greatly depends on the models. The 6-handed setup with Opus and Pro cost about $30/game. The 4-handed setup with just small models was $6/game. I'd love to run more but I already spent quite a bit as it is.

Yeah thats costly, 160 games still gives about 1000+ total decisions and you can see some trends on how they think about the game state.

Re: Show HN: Watch LLMs play 21,000 hands of Poker

#13
post #7

Earlier quoted context omitted.

It greatly depends on the models. The 6-handed setup with Opus and Pro cost about $30/game. The 4-handed setup with just small models was $6/game. I'd love to run more but I already spent quite a bit as it is.

Yeah thats costly, 160 games still gives about 1000+ total decisions and you can see some trends on how they think about the game state.

Oh to be clear, there are ~21k hands here, and far more decisions than that.

Re: Show HN: Watch LLMs play 21,000 hands of Poker

#15

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?

There are a few reasons that come to mind, such as winning larger pots on average, and also playing more hands by virtue of not getting knocked out as frequently.

Re: Show HN: Watch LLMs play 21,000 hands of Poker

#17
post #16

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.

Wdym exactly? I ran 163 games, are you suggesting more games or something else?

Re: Show HN: Watch LLMs play 21,000 hands of Poker

#18
post #16

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.

Wdym exactly? I ran 163 games, are you suggesting more games or something else?

You need to simulate 50k to 200k hands to get a true winrate

Re: Show HN: Watch LLMs play 21,000 hands of Poker

#20

Earlier quoted context omitted.

Wdym exactly? I ran 163 games, are you suggesting more games or something else?

You need to simulate 50k to 200k hands to get a true winrate

I'd love to run more games, just very expensive unfortunately.
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