We’re using OpenAI’s services for large-scale data analysis in a corporate environment, and I have a few questions regarding the Enterprise API.
If I subscribe to the Enterprise plan, do I automatically gain access to higher rate limits, or is it necessary to contact OpenAI to configure and activate these increased limits?
Also, are the rate limits shared across all users within the organization, or are they applied individually per API key?
Is there an official way to track usage statistics per user, either through the API or the dashboard?
Lastly, from a best practices standpoint, is it recommended to generate separate API keys for each user or system, or should we centralize everything under a single backend key?
Any guidance or practical experience with the Enterprise setup would be greatly appreciated.
Thanks!
The only guidance I can reliably offer is to contact sales@openai.com and make sure to include the number of seats for ChatGPT and expected API usage your company expects to need.
They will answer all questions correct and that’s ultimately what you need.
If they don’t answer, you will have to look into regular implementations and then this community offers all the help you are looking for.
Hey! Great questions — we went through the same process recently, so I’ll share what we learned:
Rate limits: Just signing up for Enterprise doesn’t automatically crank up your rate limits. You usually have to talk to your OpenAI rep to get them adjusted based on your needs. They’re pretty flexible, but it’s not instant.
Shared vs. individual limits: Rate limits are shared across the org, not per API key. So if multiple people or systems are using the same org/project, they’re all drawing from the same pool.
Tracking usage per user: There’s no built-in per-user tracking unless you assign different API keys. The dashboard shows usage at the org level, but if you give separate keys to users/systems, you can track that way and keep things organized.
Best practices: Definitely go with separate keys per user or system. It makes debugging, tracking, and revoking access way easier. Using one centralized key might seem simpler at first, but it gets messy fast, especially as your usage grows.