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。
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。
Scale Tier lets you purchase a set number of API input and output tokens per minute (known as “token units”) upfront for access to one dedicated model snapshot. Each token unit is purchased for a minimum of 30 days.
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6 tokens per minute|Understanding rate limits in openai api
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