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DTBench

General QA · 2024-11-15

DTBench (Decision Theory Benchmark) tests reasoning about the decision theory of Newcomb-like problems, such as interactions between an agent and near-copies of itself, using handcrafted multiple-choice questions validated by two decision theorists. Scores are accuracy on the 375 non-trivia capability questions; trivia and the 130 attitude questions, which have no agreed answer, are not scored. The maintainers treat 40% as the random-guessing level because answer-option counts vary.

Top models (higher is better)

ModelScore
Claude Opus 5.598.9
Claude Fable 598.4
Claude Opus 597.9
Claude Fable 5.197.6
Gemini 4 Argon97.6
Claude Sonnet 5.597.3
GPT-6 Astra97.3
GPT-6 Sol97.3
Grok 4.697.3
Gemini 3.1 Pro Preview97.1
Gemini 3.7 Flash96.8
GPT-6.1 Sol96.5
Muse Spark 1.396.5
GPT-5.5 Pro96.0
GPT-5.596.0
Grok 4.796.0
GPT-5.6 Sol95.7
Gemini 3.8 Flash95.7
Gemini 3.6 Flash95.5
Muse Wonder95.2
Claude Haiku 5.595.0
Opus 4.894.9
Gemini 3.5 Flash94.7
Opus 4.794.7
GPT-5.494.4
Muse Spark 1.194.4
DeepSeek V4 Pro 081393.9
GPT-5.6 Terra93.3
Qwen3.8 2.4T A95B93.2
Sonnet 592.5
Qwen3.7-Max (source unspecified)92.3
Qwen3.8-Max92.0
Opus 4.691.2
Kimi K391.2
DeepSeek-V4-Flash-073190.9
GPT-5.290.9
Kimi K2.690.9
DeepSeek-V4-Pro90.7
GPT-590.7
GPT-5.190.1
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