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Model details

o1 (OpenAI)

OpenAI o1 is positioned as a reasoning-focused model series built to handle complex analytical tasks that earlier OpenAI models addressed too quickly and superficially. According to available reporting, the o1 family was introduced to spend more time working through problems, experimenting with strategies, and refining its answers, mirroring a more deliberative problem-solving style. This design intent is aimed at users who need stronger performance on challenging benchmarks in domains such as physics, chemistry, biology, and coding, where step-by-step reasoning matters more than raw response speed.

In practical terms, o1 is best understood as OpenAI's first entry in a dedicated reasoning line that later expanded into smaller and preview variants and, eventually, the o3-mini successor, which added developer-oriented features like function calling and Structured Outputs. That progression signals o1's role as the foundation of a reasoning model family rather than a fast, general-purpose chat model. Teams evaluating o1 today should treat it as a deliberation-oriented option for hard analytical workloads, while recognizing that newer members of the o-series have been tuned for cost, latency, or developer ergonomics depending on the use case.

LLM Gatewayopenai/o1o

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Provider
LLM Gateway
Model key
openai/o1
Release date
Dec 5, 2024
Last updated
Dec 5, 2024
Knowledge cutoff
2023-09
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$15.00
Output token cost
$60.00

Limits

Output tokens
100,000 tokens
Context window
200,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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