GPQA Chain-of-Thought
GPQA with chain-of-thought reasoning.
Category
Reasoning
Score type
percent
Scale
100%
higher is better
Models tested
1
What is GPQA Chain-of-Thought?
GPQA (Google-Proof Q&A) is a graduate-level science question set created by domain experts. Questions are written so that simply searching the web does not help: 'google-proof' means that even human experts with full search access only answer about a third of them correctly in the non-expert setting.
What does it test?
GPQA Chain-of-Thought measures general reasoning and comprehension. In detail, it checks:
- deep science knowledge beyond common exam questions
- step-by-step scientific reasoning
- robustness against attractive wrong answers
- 'closed-book' problem solving without external help
How to read the score
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.
Frequently asked questions
What is the GPQA Chain-of-Thought benchmark?
GPQA (Google-Proof Q&A) is a graduate-level science question set created by domain experts. Questions are written so that simply searching the web does not help: 'google-proof' means that even human experts with full search access only answer about a third of them correctly in the non-expert setting.
What does GPQA Chain-of-Thought test?
GPQA Chain-of-Thought mainly measures general reasoning and comprehension. Concretely, it checks: deep science knowledge beyond common exam questions; step-by-step scientific reasoning; robustness against attractive wrong answers.
How is the GPQA Chain-of-Thought score calculated?
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.
Where do I get GPQA Chain-of-Thought data and scores?
The official source is https://huggingface.co/datasets/Idavidrein/gpqa. The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/gpqa-chain-of-thought/scores) or pull it directly from the Open LLM Radar API with any HTTP client.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Official benchmark page / paper
The benchmark maintainer's website, paper or leaderboard
Benchmark dataset
The question/task data itself — download and evaluate locally
Benchmark metadata (JSON)
This page's benchmark record from the Open LLM Radar API
All model scores (JSON download)
Full score table as JSON; paginate with limit/offset params
Open LLM Radar API docs
Swagger UI to explore and reuse all radar API endpoints
Model scores 1 model tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 1 |
Gemma 3 27B IT
Google DeepMind
|
40.36%
|
27.02.2025 | Report | Verified |