The new flagship's enterprise edition went live with its first published prices, and its own account of the mechanism doubles as an audit cost.

From the Sep 10, 2026 daily brief

OpenAI's enterprise announcement on September 9 recast this model from "the smartest model" into the model that does the most useful work per dollar, and published API pricing for the first time: $10 per million input tokens and $50 per million output tokens. For a third-party cost-efficiency reading at that price, see the named-commentary column in this issue. The mechanism, in the company's own words: "It's been trained to complete tasks in fewer tokens with fewer retries, which means less rework and lower cost per task" (OpenAI, 2026-09-09). The pricing half you can take at face value — a company publishing its own rate card has no reason to inflate it, and this is the first actual price we have for this model. ⚠️ We write none of the comparative figures in that announcement: the company ran them, computed them, and no competitor re-checked them, while the token assumptions, retry assumptions and test harness behind the cost estimates all stay undisclosed, so nothing can be recomputed. The sentence to keep is this one: fewer tokens is money saved for procurement and evidence lost for auditing, two faces of one engineering choice. Regulated industries should list the second as its own risk line.

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