GPT‑o1 is positioned as a premium reasoning model in the OpenAI API lineup, with pricing that reflects its advanced analytical capabilities. According to the official API pricing documentation, o1 is billed at about $15 per 1M input tokens, $7.50 per 1M cached input tokens, and $60 per 1M output tokens under standard API tiers. These rates place o1 above many general‑purpose GPT models while remaining significantly below ultra‑high‑compute variants like o1‑pro, which have much higher costs.

Token‑based billing gives developers transparency and control over usage costs, enabling more predictable budgeting as you scale applications. Because reasoning tasks, especially those involving long context windows and detailed outputs, can consume many tokens, it’s important to optimize prompt length and output expectations for cost efficiency. Using features like cached input token discounts and batch API pricing can help reduce spend for recurring patterns or large‑volume jobs.

For teams building deeply analytical applications such as technical assistants, research tools, or complex data workflows, o1’s pricing balances performance with premium reasoning value. With careful cost planning, developers and enterprises can harness GPT‑o1’s advanced capabilities while keeping inferencing expenses aligned with project budgets and outcomes.