o1-preview
OpenAI’s preview reasoning model for developers and researchers tackling complex math, code analysis, and logic-solving outputs.
Tool overview
On adoption, o1-preview looks important enough to track, but the evidence supports it more as the starting point of OpenAI’s reasoning-model era than as proof that it remains the best option today. Most sources here are OpenAI posts and high-engagement retrospectives on X. That is strong proof of attention and historical significance, but mostly hype proof rather than systematic proof of current performance.
In practical use, OpenAI described it as a model with strong reasoning and broad world knowledge, aimed at multi-step math, coding, and logic problems. Community memory centers on the experience of a model that “pauses to think” before answering, plus a few memorable examples of puzzle solving and text reasoning. It is not a workflow automation platform or a generic chat assistant; a better analogy is a research-oriented reasoning engine for harder problem decomposition.
On cost and access, the safest reading is that early usage had meaningful constraints. Officially, it first rolled out in the API for tier-5 developers, and later OpenAI expanded access to all paid tiers.