OpenAI trades discounted tokens for multi-year capacity commits
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customers are increasingly asking us for certainty on capacity. as models get better, we expect that the world will be capacity-constrained for some time. we are offering discounted tokens for 1-3 year commits. (it also helps us plan, so hopefully a big win-win.) https://t.co/IEQQeumWnT
we will offer this until we sell out of our current allocation for this program. (we will make sure to leave enough capacity for ChatGPT, Codex, etc.) we plan to offer it again in the future; our intention remains to build as much compute as fast as we can.
Context
OpenAI's Guaranteed Capacity offering exchanges a longer spending commitment for discounted usage and greater certainty of compute access. Its product page describes one-to-three-year commitments, with discounts increasing according to annual commitment and access tied to spending levels.
The arrangement addresses two planning problems: customers want capacity for important workloads, while the provider wants a clearer demand forecast. The launch thread explicitly connected the offer to both needs and said its initial allocation was finite. The tradeoff is committing future spending in exchange for capacity certainty and lower usage prices.
- token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
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