OpenAI is offering some large customers outcome-based AI pricing

OpenAI has started offering a new pricing model to some large customers in recent months, according to The Information, shifting away from charging only for tokens, usage volume, or seats. Under the arrangement, customers pay after AI actually completes a task. One use case already in practice is customer service, where companies can be billed based on customer support tasks completed by AI rather than on standard consumption metrics. The company has not disclosed which customers are using the model, how much it charges, or how it defines a task as completed, and it declined to comment. The report says this is not a broadly available enterprise package. OpenAI’s publicly listed Enterprise pricing still mainly relies on quotas and token-based billing, suggesting the new structure is being negotiated privately with selected large clients. The move lines up with comments made earlier this year by OpenAI CFO Sarah Friar. In January, she said AI business models would move toward charging by outcomes. In July, OpenAI also argued that the more relevant measure is not simply the price per token, but the total cost required for AI to successfully finish a job. That framework now appears to be making its way into real commercial contracts.