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Learn Editor: Update provisioned-throughput.md
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articles/ai-services/openai/concepts/provisioned-throughput.md

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@@ -48,14 +48,14 @@ The amount of throughput (tokens per minute or TPM) a deployment gets per PTU is
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To help with simplifying the sizing effort, the following table outlines the TPM per PTU for the specified models. To understand the impact of output tokens on the TPM per PTU limit, use the 3 input token to 1 output token ratio. For a detailed understanding of how different ratios of input and output tokens impact the throughput your workload needs, see the [Azure OpenAI capacity calculator](https://oai.azure.com/portal/calculator). The table also shows Service Level Agreement (SLA) Latency Target Values per model. For more information about the SLA for Azure OpenAI Service, see the [Service Level Agreements (SLA) for Online Services page](https://www.microsoft.com/licensing/docs/view/Service-Level-Agreements-SLA-for-Online-Services?lang=1)
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|Topic| **gpt-4o** | **gpt-4o-mini** |
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| --- | --- | --- |
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|Global & data zone provisioned minimum deployment|15|15|
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|Global & data zone provisioned scale increment|5|5|
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|Regional provisioned minimum deployment | 50 | 25|
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|Regional provisioned scale increment|50|25|
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|Input TPM per PTU | 2,500 | 37,000 |
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|Latency Target Value |25 Tokens Per Second|33 Tokens Per Second|
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|Topic| **gpt-4o** | **gpt-4o-mini** | **o1**
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| --- | --- | --- | --- |
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|Global & data zone provisioned minimum deployment|15|15|15|
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|Global & data zone provisioned scale increment|5|5|5|
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|Regional provisioned minimum deployment|50|25|50|
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|Regional provisioned scale increment|50|25|50|
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|Input TPM per PTU |2,500|37,000|230|
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|Latency Target Value |25 Tokens Per Second|33 Tokens Per Second|25 Tokens Per Second
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For a full list see the [Azure OpenAI Service in Azure AI Foundry portal calculator](https://oai.azure.com/portal/calculator).
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