Merge pull request #5525 from aahill/ptu-tokens

updating tokens

Author: prmerger-automator[bot]

articles/ai-services/openai/how-to/provisioned-throughput-onboarding.md

@@ -3,7 +3,7 @@ title:  Understanding costs associated with provisioned throughput units (PTU)
 description: Learn about provisioned throughput costs and billing in Azure AI Foundry. 
 ms.service: azure-ai-openai
 ms.topic: conceptual 
-ms.date: 05/28/2025
+ms.date: 06/13/2025
 manager: nitinme
 author: aahill 
 ms.author: aahi 
@@ -84,8 +84,9 @@ For example, for `gpt-4.1:2025-04-14`, 1 output token counts as 4 input tokens t
 |Regional provisioned minimum deployment|25| 50|25| 25 |50 | 25|25|50|25| NA|NA|
 |Regional provisioned scale increment|25| 50|25| 25 | 50 | 25|50|50|25|NA|NA|
 |Input TPM per PTU|5,400 | 3,000|14,900| 59,400 | 600 | 2,500|230|2,500|37,000|4,000|4,000|
-|Latency Target Value| 66 Tokens Per Second | 40 Tokens Per Second|50 Tokens Per Second| 60 Tokens Per Second | 40 Tokens Per Second | 66 Tokens Per Second |25 Tokens Per Second|25 Tokens Per Second|33 Tokens Per Second|50 Tokens Per Second|50 Tokens Per Second|
+|Latency Target Value| 99% > 66 Tokens Per Second\* | 99% > 40 Tokens Per Second\* | 99% > 50 Tokens Per Second\*| 99% > 60 Tokens Per Second\* | 99% > 40 Tokens Per Second\* | 99% > 66 Tokens Per Second\* | 99% > 25 Tokens Per Second\* | 99% > 25 Tokens Per Second\* | 99% > 33 Tokens Per Second\* | 99% > 50 Tokens Per Second\*| 99% > 50 Tokens Per Second\*|
 
+\* Calculated as the average request latency on a per-minute basis across the month.
 
 For a full list, see the [Azure AI Foundry calculator](https://ai.azure.com/resource/calculator).