Uploaded April 2026 | Updated September 2026, 1 day ago
GTO Wizard helps you to learn GTO and analyze your game.
Try it for free at https://gtow.pro/gtowizardyt
When people hear the term artificial intelligence, they immediately assume ChatGPT, or other large language models. These models predict language, but in poker, you have to actually make good decisions that maximize EV.
In this technical breakdown, Tombos21 reveals the results of our public leaderboard, comparing the world’s most famous LLMs against GTO Wizard AI.
This video explores:
- **The Methodology:** How we used AIVAT luck correction to get precise win rates over small sample sizes.
- **Inference Cost:** A look at the correlation between how much a model costs to run and its actual poker skill.
- **Range Analysis:** Comparing the tighter preflop tendencies of ChatGPT and Claude against the optimal GTO Wizard solutions.
- **Logic Failures:** Why LLMs frequently misread their own hole cards or hallucinate the strength of their hand.
If you want to see how the latest artificial intelligence handles the complexity of game theory, *watch what happens*.
AI Poker Leaderboard: benchmark.gtowizard.com
GTO Wizard Benchmark paper: arxiv.org/pdf/2603.23660
📚 Unlock your poker potential with "Daily Dose of GTO". Download your free eBook today at https://gtow.pro/dailydoseyt and start mastering GTO in just 5 minutes per day!
🧙♂️GTO Wizard
• Study any spot imaginable
• Practice by playing vs. GTO
• Analyze your hands with 1-click
• Works on Desktop/Mobile/Tablet
• Try it for free at https://gtow.pro/gtowizardyt
• Join our discord discord.gg/ht3QxrP
• Instagram: instagram.com/GTOWizard
• Facebook: facebook.com/GTOWizard
• Twitter: twitter.com/GTOWizard
#GTOWizard #GTO #poker
Can AI Actually Play Poker? We Ranked the Best LLMs
0:00:00 – Introduction: LLMs vs. Poker AI
0:00:43 – Language Models vs. Purpose-Built AI
0:01:34 – The Results: LLM Win Rates
0:02:33 – Inference Costs vs. Performance
0:03:17 – The GTO Wizard Public Leaderboard
0:04:20 – Methodology and Luck Correction
0:06:03 – Range Analysis and Strategy Gaps
0:09:38 – Why LLMs Fail: Misreading Hands
0:11:06 – Analysis of Wild Hero Calls
0:15:07 – Creative Plays and Final Thoughts
GTO Wizard helps you to learn GTO and analyze your game.
Try it for free at https://gtow.pro/gtowizardyt
When people hear the term artificial intelligence, they immediately assume ChatGPT, or other large language models. These models predict language, but in poker, you have to actually make good decisions that maximize EV.
In this technical breakdown, Tombos21 reveals the results of our public leaderboard, comparing the world’s most famous LLMs against GTO Wizard AI.
This video explores:
- **The Methodology:** How we used AIVAT luck correction to get precise win rates over small sample sizes.
- **Inference Cost:** A look at the correlation between how much a model costs to run and its actual poker skill.
- **Range Analysis:** Comparing the tighter preflop tendencies of ChatGPT and Claude against the optimal GTO Wizard solutions.
- **Logic Failures:** Why LLMs frequently misread their own hole cards or hallucinate the strength of their hand.
If you want to see how the latest artificial intelligence handles the complexity of game theory, *watch what happens*.
AI Poker Leaderboard: benchmark.gtowizard.com
GTO Wizard Benchmark paper: arxiv.org/pdf/2603.23660
📚 Unlock your poker potential with "Daily Dose of GTO". Download your free eBook today at https://gtow.pro/dailydoseyt and start mastering GTO in just 5 minutes per day!
🧙♂️GTO Wizard
• Study any spot imaginable
• Practice by playing vs. GTO
• Analyze your hands with 1-click
• Works on Desktop/Mobile/Tablet
• Try it for free at https://gtow.pro/gtowizardyt
• Join our discord discord.gg/ht3QxrP
• Instagram: instagram.com/GTOWizard
• Facebook: facebook.com/GTOWizard
• Twitter: twitter.com/GTOWizard
#GTOWizard #GTO #poker
Can AI Actually Play Poker? We Ranked the Best LLMs
0:00:00 – Introduction: LLMs vs. Poker AI
0:00:43 – Language Models vs. Purpose-Built AI
0:01:34 – The Results: LLM Win Rates
0:02:33 – Inference Costs vs. Performance
0:03:17 – The GTO Wizard Public Leaderboard
0:04:20 – Methodology and Luck Correction
0:06:03 – Range Analysis and Strategy Gaps
0:09:38 – Why LLMs Fail: Misreading Hands
0:11:06 – Analysis of Wild Hero Calls
0:15:07 – Creative Plays and Final Thoughts
