---
title: "Why do OpenAI API projects hit different rate limits within the same organization?"  
description: "Why do OpenAI API projects hit different rate limits within the same organization?"  
author: "Khoa Vu"  
published: 2026-10-21  
updated: 2026-10-21  
canonical: https://www.mindstick.com/forum/162725/why-do-openai-api-projects-hit-different-rate-limits-within-the-same-organization  
category: "OpenAI API"  
tags: ["OpenAI", "API Development", "Rate Limits"]  
reading_time: 1 minute  

---

# Why do OpenAI API projects hit different rate limits within the same organization?

I’m seeing different throttling behavior from two projects that belong to the same OpenAI organization. Before I redesign our request queue, I’m trying to understand what actually determines the effective limit: the project, the organization, the model, or some combination.

Has anyone tracked down why **project-level rate limits** can feel inconsistent across otherwise similar workloads? I’m especially interested in what usage details are worth comparing when a request starts returning rate-limit errors.


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Original Source: https://www.mindstick.com/forum/162725/why-do-openai-api-projects-hit-different-rate-limits-within-the-same-organization

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