RATE LIMITS FOR CHATGPT API
If you use the ChatGPT API, it’s important to know about rate limits and how they can impact the API’s performance. In this article, we will discuss what rate limits are, why they are used, the specific rate limits for the ChatGPT API, how they operate, and what occurs when you encounter a rate limit error.
What Are ChatGPT Rate Limits?
An API utilizes rate limits as a protective measure to restrict how frequently a user or client can communicate with the server within a given period. This is done to avoid improper or overuse of the API and to make sure that everyone has equal access to it.
What Is The Performance Rate Limit of ChatGPT API?
If the rate limits are not configured correctly, the performance of the API can be impacted. The API may be vulnerable to an attack from a harmful individual who launches multiple requests to flood the system and cause interruptions in the service. This can lead to performance problems and a slowdown of the API for all users. To prevent such actions and guarantee that the API works at its best, ChatGPT can implement rate limits.
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Why Do We Implement ChatGPT Rate Limits On APIS?
Rate limits are commonly used in APIs like ChatGPT and they serve multiple purposes. These purposes include:
- They are employed to safeguard against the misuse or improper use of the API.
- The objective is to make sure that every user has equal access to the API.
- Additionally, rate limits are used to manage the overall load on the API’s infrastructure.
What Are The Rate Limits For ChatGPT API?
ChatGPT has rate limits that are applied at the organizational level and not for individual users. The limit of accessing an endpoint relies on the endpoint and the kind of account used. There are two ways to measure this limit: RPM (Requests per minute) and TPM (Tokens per minute). The goal of these limits is to keep our services available to all users and prevent overuse by a single person or group. This helps avoid service disruption for other users. The ChatGPT API has default rate limits which are as follows:
| TYPE | 1 TPM EQUALS |
| DaVinci | 1 token per minute |
| Curie | 25 tokens per minute |
| Babbage | 100 tokens per minute |
| Ada | 200 tokens per minute |
| FREE TRIAL USERS | PAY-AS-YOU-GO USERS (FIRST 48 HOURS) | PAY-AS-YOU-GO USERS (AFTER 48 HOURS) |
| Chat: 20 RPM | Chat: 60 RPM | Chat: 3,500 RPM |
| Codex: 150,000 TPM | Codex: 250,000 TPM | Codex: 350,000 TPM |
| Edit: 20 RPM | Edit: 60 RPM | Edit: 90,000 TPM |
| Image: 50 images/min | Image: 50 images/min | Image: 50 images/min |
| Audio: 50 RPM | Audio: 50 RPM | Audio: 50 RPM |
It’s important to understand that both choices can cause the limit to activate, depending on which limit is reached first. For example, if you utilize only 100 tokens to submit 20 requests to the Codex endpoint, you may exceed the limit, even if you haven’t used up all 40k tokens in those 20 requests.
How Do ChatGPT Rate Limits Work?
When using an API that has a limit of 60 requests per minute and 150k DaVinci tokens per minute, you’ll be restricted by the limit you reach first. It means you might hit your request limit first or run out of tokens before reaching the request limit.
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To give an idea, 60 maximum requests per minute mean one request per second approximately. Thus, it’s crucial to be mindful of both limits to ensure the smooth functioning of your application within acceptable API limits. If you hit the rate limit and send a request every 800ms, you can make your program sleep for 200ms to send another request or consecutive requests would fail.
By default, customers can effectively send 3,000 requests per minute, which equates to one request every 20 milliseconds or 0.02 seconds.
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What Happens To My System Or Application When It Encounters A Rate Limit Error?
When a person sends too many requests to an API in a short amount of time, the system will stop responding to their requests. This is called a rate limit, and it is indicated by an error message that tells the user how many requests or tokens they exceeded per minute. The user will need to wait for a certain amount of time before they can make more requests.
Rate Limits Vs Max_Tokens
Every OpenAI model has a limit on the number of words that can be used as input in a request. The maximum number of tokens allowed is determined by OpenAI and cannot be exceeded. For instance, if someone uses text-ada-001, the highest number of tokens they can submit to the model at once is 2,048.
GPT-4 Rate Limits
When GPT-4 is released, it will have stricter rules for the number of requests it can handle to manage the expected high demand. The initial rate limits for GPT-4 and GPT-4-0314 will be 40,000 TPM and 200 RPM, respectively, to make sure it works well and satisfies the users. For GPT-4-32k and GPT-4-32k-0314, the default rate limits will be 80k RPM and 400 RPM. If users need a higher rate limit or more dedicated capacity, they can ask OpenAI for help, but it may take some time to process the request.
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In Conclusion
Rate limits play an important role in OpenAI’s API structure. The restrictions on how often you can use it are really important. To stop people from using it too much or in the wrong way, you have to make sure everyone has an equal chance to use it and help OpenAI manage how many people are using it at once. You should know what your limits are, and if you need to use them more, you can ask OpenAI to let you. If everyone follows these rules, everyone can use OpenAI’s API as much as possible without making it worse for other people.
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