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OpenAI
Reasoning

o1-preview

openai/o1-preview

4 credits / request
Compare with…Added 2026
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o1-preview was OpenAI's first public release of the o1 reasoning model series, made available for early testing before the full o1 launch. It uses chain-of-thought reasoning internally — spending more inference time thinking through problems before producing an answer — which yields substantially better results on complex math, science, and multi-step logical tasks compared to standard GPT-4-class models.

As a preview release, it gave developers and researchers early access to test o1's reasoning capabilities with the understanding that it was not yet the final, fully optimized version. It is best suited for difficult problems where answer quality matters more than response speed, including competition-style math, formal proofs, and rigorous analytical reasoning.

Key Features

Internal chain-of-thought reasoning for improved accuracy on complex problems

Strong performance on multi-step math, science, and logical reasoning tasks

Better handling of ambiguous or under-specified problems than standard GPT-4

Reduced hallucination on tasks requiring careful step-by-step deduction

Suitable for technical domains such as coding challenges and formal analysis

Ideal Use Cases

1.

Advanced mathematics problem solving and proof verification

2.

Complex coding challenges and algorithm design

3.

Scientific reasoning and hypothesis evaluation

4.

Legal and analytical tasks requiring careful multi-step logic

Example Prompts for o1-preview

Technical Specifications

ProviderOpenAI
CategoryReasoning
ModalityText -> Text (reasoning)

Frequently Asked Questions

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