Vals Agent Poker Bench (Agent Poker Bench)
We show this table for reference; we do not rank on it.
Which model can make the most money playing poker?
Agent Poker Bench score on Agent Poker Bench — December 23, 2025
We mirror the published agent poker bench score view for Agent Poker Bench. GPT-5.2 leads the public snapshot at 1131.83%, followed by GPT-5 (1103.18%) and Gemini 3 Flash Preview (1100.21%). We do not use these results to rank models overall.
GPT-5.2
OpenAI
GPT-5
OpenAI
Gemini 3 Flash Preview
17 modelsAgenticCurrentDisplay onlyUpdated December 23, 2025
Agent Poker Bench score table (17 models)
ScoreHow Agent Poker Bench is shown here
BenchLM mirrors the public Vals AI Agent Poker Bench leaderboard captured from https://www.vals.ai/benchmarks/poker_agent and updated by Vals on December 23, 2025. The snapshot preserves overall scores, uncertainty, latency, cost-per-test metadata, and task-level scores where Vals publishes them.
Agent Poker Bench is display only on BenchLM. Vals proprietary or Vals-hosted aggregate views are useful context, but BenchLM does not use them as weighted ranking inputs or as a replacement for benchmark-native source records.
Snapshot
The published Agent Poker Bench snapshot places GPT-5.2 first at 1131.83%. The third row is 31.62 points behind. The broader top-10 range is 97.53 points, so the table still separates the published systems.
17 models have been evaluated on Agent Poker Bench. The benchmark falls in the Agentic category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. Agent Poker Bench is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About Agent Poker Bench
Year
2026
Tasks
Poker-playing agent trials
Format
Accuracy score
Difficulty
Strategic game-agent decision making
BenchLM mirrors the public Vals AI Agent Poker Bench leaderboard as display-only external evidence. The captured snapshot preserves overall scores, task-level scores where Vals publishes them, uncertainty, latency, and cost-per-test metadata. It is excluded from BenchLM weighted rankings.
Freshness and provenance
Version
Agent Poker Bench 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does Agent Poker Bench measure?
Which model can make the most money playing poker?
Which model leads the published Agent Poker Bench snapshot?
GPT-5.2 currently leads the published Agent Poker Bench snapshot with 1131.83% agent poker bench score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on Agent Poker Bench?
The December 23, 2025 snapshot contains 17 AI models.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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