List prices
| Input | $10 / 1M tok | |
| Cached input | $2.5 / 1M tok | |
| Output | $40 / 1M tok |
Estimate your monthly cost
Based on o3-deep-research's current list prices. You pay your provider directly - Vevee meters this usage against your own plans.
Repeated prompts can be cheaper: cached input is $2.50 / 1M tokens.
Frequently asked questions
How much does o3-deep-research cost?
o3-deep-research costs $10 per 1 million input tokens and $40 per 1 million output tokens, with cached input at $2.5 per 1 million tokens. These are OpenAI's list rates.
How much does a typical o3-deep-research request cost?
A request with 1,500 input tokens and 500 output tokens costs about $0.035. At 1,000 such requests a month that is roughly $35.00.
How many o3-deep-research tokens do I get for $10?
$10 buys roughly 1.0 million input tokens or 0.3 million output tokens at list price.
How do I track o3-deep-research costs per end user?
Use a metering layer. With Vevee you call track() or reserve()/commit() around each o3-deep-research request with the end user's ID, define plan limits in the dashboard, and Vevee enforces them and shows per-user usage and cost - no backend to build.
Track o3-deep-research spend per user
Knowing the list price is half the problem - the other half is knowing which of your users consume it and stopping the ones who blow past their plan. Vevee meters every o3-deep-research call per end user, enforces your plan limits, and shows you per-user cost. Free tier, no card.