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Tokens-per-minute (TPM) is a configurable limit set per model per region within the API that provides a best prediction of your expected token usage over time. The requests-per-minute (RPM) rate limit is also set proportionally。

Tokens-Per-Minute (TPM) allocation is not 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).

There are two principal rate limiting strategies within Azure OpenAI Service which 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。

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