OpenAI Developers
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We’ve put together some best practices on using our o-series models: 🤔 Differences between our reasoning and non-reasoning models 💡 When to use reasoning models 💬 How to approach prompting reasoning models effectively
GPT models focus on fast, cost‑efficient, straightforward task execution—“the workhorses.” 🐎 o‑series models excel at handling ambiguous, multi‑step tasks in domains such as math, engineering, legal, and finance—“the planners.” 🧠
Use o-series models to process unstructured data, find a needle in a haystack, improve code, or handle other complex tasks. For example, o1’s vision capabilities can analyze detailed architectural drawings. In this image, o1 recognized that “PT” wood posts were pressure-treated.
As some of you have noticed, avoid “boomer prompts” with o-series models. Instead, be simple and direct, with specific guidelines. Delimiters (xml tags) will help keep things clean for the model, and improve output. Read the full best practices guide: https://platform.openai.com/do...