There are two principal rate limiting strategies within Azure OpenAI Service 6 tokens per minutewhich we need to understand: Let’s delve into the details of these: TPMs are allocated to a model deployment (like gpt-35-turbo), defining the maximum。
Tokens-Per-Minute (TPM) allocation is not6 tokens per minute related to the max input token limit of a model. Model input token limits are defined in the and are not impacted by changes made to Tokens per minute (TPM).
ChatGPT api has a token per minute limit. But which tokens are ment by that? The amount 6 tokens per minuteof prompt tokens sent to chatgpt, the amount of tokens returned by chatgpt, or both。
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6 tokens per minute|Understanding rate limits in openai api
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