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GPQA

GPQA evaluates graduate-level scientific question answering and the gap between domain experts, skilled outsiders, and model baselines under specified resource conditions.

GPQA 2023 paper release (Extended/Main/Diamond sets)

Permanent entry
Task and data
GPQA Extended contains 546 expert-written multiple-choice questions in biology, physics and chemistry. Its curated Main and Diamond subsets contain 448 and 198 questions.
Primary metric
Accuracy is the share of four-choice questions answered correctly; higher is better only when subset and supervision setup match.
What it measures
graduate-level scientific question answering and the gap between domain experts, skilled outsiders, and model baselines under specified resource conditions.
Comparison rules
Keep the subset and access-to-search setting attached. Raw expert and non-expert figures are not interchangeable with model results on a filtered subset.
Access and licensing
The Compendium does not reproduce GPQA questions. Dataset access and reuse remain governed by the benchmark publisher's terms.
Selected published third-party results for GPQA 2023 paper release (Extended/Main/Diamond sets). Draconitic did not run these evaluations.
Published subjectScoreMetricSplit and evaluation settingSource record
Domain-expert validatorsgpqa-2023:extended:expert 65%higher, percent accuracyhistorical human baseline GPQA ExtendedExperts with or pursuing relevant PhDs; raw accuracy before discounting retrospectively identified clear mistakes.The paper also reports 74% after discounting clear mistakes; that adjusted figure is a different analysis. GPQA authorsPublished 2023-11-20, reviewed 2026-07-13human-baseline, published-third-party
Skilled non-expert validatorsgpqa-2023:extended:nonexpert-web 34%higher, percent accuracyhistorical human baseline GPQA ExtendedExperts in other domains, unrestricted web access, averaging more than 30 minutes per question.The non-expert baseline is specific to the recruited validator population and resource allowance. GPQA authorsPublished 2023-11-20, reviewed 2026-07-13human-baseline, published-third-party
GPT-4gpqa-2023:extended:few-shot-cot 38.7%higher, percent accuracyhistorical paper result GPQA ExtendedFew-shot chain-of-thought prompting; exact GPT-4 provider snapshot is not stated in the result table.A model family label without a dated snapshot limits reproducibility. GPQA authorsPublished 2023-11-20, reviewed 2026-07-13original-paper, published-third-party
GPT-4 with searchgpqa-2023:extended:search-backoff 39.4%higher, percent accuracyhistorical system result GPQA ExtendedSearch system with backoff to the few-shot chain-of-thought answer on abstention.This is a model-plus-retrieval system, not a base-model score; the paper reports a high abstention rate on filtered subsets. GPQA authorsPublished 2023-11-20, reviewed 2026-07-13original-paper, published-third-party

Claims and evidence

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