Agent Poker Bench
Models play 10-seat no-limit Texas Hold'em tournaments against each other. Chip counts and elimination order feed TrueSkill ratings.
17 models. The board has had no update since December 23rd, 2025.
- Released
- January 2026
- Kind
- Multi-agent games
- Level
- Expert
- Scored
- Ranked by matches
- Answers
- Agent task
- Tasks
- Kept private
- Strongest model tested
- GPT-5.2 #50 on the capability index
- Last model added
- December 2025
- Scores refreshed
- November 12th, 2026
GPT-5.2 leads with 1,132 among models released by December 2025
Best score per model from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart.
The newest model with a score here came out in December 2025, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 1,132 GPT-5.2
- 1,103 GPT-5
- 1,100
Gemini 3 Flash
- 1,090
DeepSeek-V3.2
- 1,079 Grok 4.1 Fast
- 1,079
Gemini 3 Pro
- 1,058
DeepSeek-V3.1
- 1,056 Claude Sonnet 4.5
- 1,039 GPT-5.1
- 1,034 Grok 4 Fast
- 1,033 Claude Opus 4.5
- 1,033
Gemini 2.5 Pro
- 1,015 gpt-oss-120b
- 1,012 Kimi K2 Thinking
- 995
Qwen3-Max
- 946 GLM-4.6
- 891
Llama 4 Maverick
Bars start at 850.
- 1 GPT-5.2 1,132
- 2 GPT-5 1,103
- 3
Gemini 3 Flash 1,100
- 4
DeepSeek-V3.2 thinking 1,090
- 5 Grok 4.1 Fast reasoning 1,079
- 6
Gemini 3 Pro 1,079
- 7
DeepSeek-V3.1 1,058
- 8 Claude Sonnet 4.5 non-thinking 1,056
- 9 GPT-5.1 1,039
- 10 Grok 4 Fast reasoning 1,034
- 11 Claude Opus 4.5 non-thinking 1,033
- 12
Gemini 2.5 Pro Jun 2025 1,033
- 13 gpt-oss-120b 1,015
- 14 Kimi K2 Thinking 1,012
- 15
Qwen3-Max 995
- 16 GLM-4.6 946
- 17
Llama 4 Maverick 891
Source: Official Agent Poker Bench leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-5.2 | 1,132 | Dec 2025 | Official leaderboard | |
| 2 | GPT-5 | 1,103 | Aug 2025 | Official leaderboard | |
| 3 | | 1,100 | Dec 2025 | Official leaderboard | |
| 4 | | 1,090 | thinking | Dec 2025 | Official leaderboard |
| 5 | Grok 4.1 Fast | 1,079 | reasoning | Nov 2025 | Official leaderboard |
| 6 | | 1,079 | Nov 2025 | Official leaderboard | |
| 7 | | 1,058 | Aug 2025 | Official leaderboard | |
| 8 | Claude Sonnet 4.5 | 1,056 | non-thinking | Sep 2025 | Official leaderboard |
| 9 | GPT-5.1 | 1,039 | Nov 2025 | Official leaderboard | |
| 10 | Grok 4 Fast | 1,034 | reasoning | Sep 2025 | Official leaderboard |
| 11 | Claude Opus 4.5 | 1,033 | non-thinking | Nov 2025 | Official leaderboard |
| 12 | | 1,033 | Jun 2025 | Official leaderboard | |
| 13 | gpt-oss-120b | 1,015 | Aug 2025 | Official leaderboard | |
| 14 | Kimi K2 Thinking | 1,012 | Nov 2025 | Official leaderboard | |
| 15 | | 995 | Sep 2025 | Official leaderboard | |
| 16 | GLM-4.6 | 946 | Sep 2025 | Official leaderboard | |
| 17 | | 891 | Apr 2025 | Official leaderboard |
The best score, 1,132, costs $0.09 a task
Runs on the cost frontier score higher than any run that's cheaper. Grok 4.1 Fast at reasoning comes within 52.6 of the best for $0.004 a task, 23 times cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.
Source: Official Agent Poker Bench leaderboard
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| GPT-5.2 | 1,132 | $0.09 | |||
| GPT-5 | 1,103 | $0.06 | |||
| | 1,100 | $0.009 | |||
| | thinking | 1,090 | $0.01 | ||
| Grok 4.1 Fast | reasoning | 1,079 | $0.004 | ||
| | 1,079 | $0.03 | |||
| | 1,058 | $0.007 | |||
| Claude Sonnet 4.5 | non-thinking | 1,056 | $0.03 | ||
| GPT-5.1 | 1,039 | $0.04 | |||
| Grok 4 Fast | reasoning | 1,034 | $0.004 | ||
| Claude Opus 4.5 | non-thinking | 1,033 | $0.04 | ||
| | 1,033 | $0.02 | |||
| gpt-oss-120b | 1,015 | $0.005 | |||
| Kimi K2 Thinking | 1,012 | $0.02 | |||
| | 995 | $0.02 | |||
| GLM-4.6 | 946 | $0.02 | |||
| | 891 | $0.005 |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official Agent Poker Bench leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official Agent Poker Bench leaderboard
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
More in Games and long tasks
- ARC-AGI-3 In use Interactive game environments where agents must explore, infer goals and rules, and act efficiently without instructions. GPT-6 Astra 99.95%
- Orak Fading LLM agents play 12 popular video games across most genres through an MCP interface. Each game scores in-game progress or outcomes, and the board ranks models by their average rank across the games.
Gemini 2.5 Pro 3.90
- MineDojo Fading Agents complete open-ended tasks in Minecraft, such as mining blocks and fighting mobs, from a large simulation suite. Programmatic checks score many tasks.
Seed2.0 Pro 49%
- TextQuests Only in system cards Agents play 25 classic interactive fiction games. The score is harmful actions per 100 steps, where lower is better. The board also reports game progress.
Llama 4 Scout 7.00
- GameWorld Only in system cards Multimodal game agents play 34 browser games across 170 tasks. Outcomes are checked from the game state. GPT-6.1 Terra 76.8%
- Swarm Bench Only in system cards Models orchestrate agent swarms on complex tasks that benefit from coordinated decomposition and parallel execution. Kimi K3 76.3%