# OpenAI releases the o1 reasoning-model preview

> OpenAI released o1-preview and o1-mini in ChatGPT and the API, describing models trained to spend more time reasoning through difficult tasks. The announcement included benchmark claims and preview constraints, emphasizing that the series would receive regular updates and access patterns for user workloads and providers.

Canonical: https://hypler.com/ai-news/openai-o1-preview-2024
Hypler publication: 2026-10-06
Original source date: 2024-09-12
Publisher: OpenAI
Article kind: source-briefing
Category: Models
Tags: reasoning, OpenAI, evaluation

## Engineering relevance

Reasoning models can alter latency and cost envelopes. Hypler should expose timeouts, budgets, fallback behavior, and task-specific evaluation results rather than assume that a reasoning label guarantees correctness.

## Original source

- [OpenAI](https://openai.com/index/introducing-openai-o1-preview/)

## Image provenance

### Primary image

![Generated illustration of branching reasoning paths through a layered model architecture.](https://hypler.com/assets/news/reasoning-models.webp)

generated illustration. Credit: Hypler / AI-generated editorial illustration. Hypler editorial asset; not vendor or event photography.
- [Image source](https://hypler.com/ai-news/media.md)

### Supporting image

![Generated illustration of inference compute and memory hardware; not a specific commercial chipset.](https://hypler.com/assets/news/local-inference.webp)

generated illustration. Credit: Hypler / AI-generated editorial illustration. Hypler editorial asset; not vendor or event photography.
- [Image source](https://hypler.com/ai-news/media.md)

## Reading boundary

Historical source briefing, not current availability, compliance advice, partnership, or proof of Hypler deployment. Generated artwork is not event photography. Public reading grants no private access or execution authority.