GPQA: Google-Proof Q&A
About
PhD-level multiple-choice questions in biology, physics, and chemistry designed so that even experts with internet access score below 67%. The Diamond subset (198 questions) is the hardest variant used in most frontier model evaluations.Compare model scores alongside pricing, API availability, and release date — high benchmark score alone doesn't make a model the right pick.
How to read this benchmark
This benchmark uses a scoring system where higher is better. Scores are useful for directional filtering and model shortlisting, not for universal quality ranking.
Interpretation checklist: prefer benchmarks that are closest to your workload style, then validate against the linked model pages for pricing, context window, and provider availability.
Trust when:
- There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
- Model list covers the same version family you can actually deploy today.
- Top candidates overlap with your required routing and feature requirements.
Don't trust when:
- There is only one benchmark snapshot or the dataset appears stale.
- Benchmark metric direction is opposite of your decision objective.
- The score difference between options is narrow and likely within implementation variance.
Current modeled score band for tracked entries is roughly 94.6 – 93.6.
Window
May 28 to Jun 3
last 3 snapshots
Mean delta
-14.80
score points
Coverage
1
models in latest snapshot
Leaderboard preview (top 5)
- 1. Claude Mythos Preview94.6
- 2. Gemini 3.1 Pro Preview94.3
- 3. Claude Opus 4.794.2
- 4. GPT-5.593.6
- 5. GPT-5.5 Pro93.6