398 AI models ranked on GPQA Diamond. Each row shows the model’s score next to its cheapest API price per 1M tokens where it has one, so you can weigh quality against cost.
Top model today
Gemini 3.1 Pro Preview (Google) leads at 94%, from $2.00 per 1M input.
Each labelled name links to that model’s page. Curated to the cost-efficiency frontier, top scorers and cheapest so labels stay readable; the full field is in the leaderboard table below (and via “select all”). Reasoning models (extended “thinking” before answering) carry a ring around the dot.
Prices are on-demand list rates. Enterprise commitments can be materially lower. Cost per task uses best-effort token usage.
Where a model has no directly-measured score, a lab-claimed or estimated value is shown.
Frequently asked questions
What is the GPQA Diamond benchmark?
A 198-question multiple-choice subset of GPQA covering graduate-level biology, physics and chemistry, written to be 'Google-proof' so answers can't be found by web search. Scored on accuracy: domain PhDs reach about 65%, while skilled non-experts manage only about 34% even with web access.
Which AI model scores highest on GPQA Diamond?
Gemini 3.1 Pro Preview (Google) leads with 94%, from $2.00 per 1M input tokens.
How many models are ranked on GPQA Diamond?
398 models carry a GPQA Diamond score. Scores come from Artificial Analysis; where a model has a live API price it is verified against LiteLLM and OpenRouter, and models with no current price are listed without one.