Models
GPQA Diamond
The hardest, highest-quality subset of GPQA: 198 graduate-level multiple-choice questions in biology, physics, and chemistry written by domain experts.
In depth
The hardest, highest-quality subset of GPQA: 198 graduate-level multiple-choice questions in biology, physics, and chemistry written by domain experts. A question makes the Diamond set only if both expert validators answer it correctly and most skilled non-experts get it wrong. In the original study, non-experts reached just 34% on the full set even with over 30 minutes and unrestricted internet access. It is a standard headline score for scientific reasoning in frontier model launches.
Primary source: arxiv.org
Example
In practice, developers reach for GPQA Diamond when they need the capability described above as part of an AI feature or workflow.
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FAQ
Common questions
What is GPQA Diamond?
The hardest, highest-quality subset of GPQA: 198 graduate-level multiple-choice questions in biology, physics, and chemistry written by domain experts.
Why does GPQA Diamond matter for AI developers?
GPQA Diamond sits in the Models part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Where can I learn more about GPQA Diamond?
Developers Digest publishes tutorials and videos that cover Models topics including GPQA Diamond. Check the blog and YouTube channel for hands-on walkthroughs.
Related
Related terms
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Rubric-Based Grading
Scoring a model's output against an explicit, written rubric that defines what each score level means for each criterion, instead of asking for an open-ended quality rating.
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Self-Consistency
A decoding strategy that samples several chain-of-thought reasoning paths for the same question and returns the final answer that appears most often.
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GSM8K
A dataset of 8,500 grade school math word problems from OpenAI that take several steps of basic arithmetic to solve.
Put this concept to work
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