Reasoning Benchmark

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.

Model scores 1 model tested

Reset
# Model Score Date Source Verified
1 Gemma 3 27B IT
Google DeepMind
40.36%
27.02.2025 Report Verified

What now?

You've seen how models score on GPQA Chain-of-Thought — here's what to do next.