Merge pull request #227313 from mrbullwinkle/mrb_02_13_2023_openai_cost_management

[Cognitive Services] [Azure OpenAI] Clarify input/output token costs

Author: prmerger-automator[bot]

articles/cognitive-services/openai/how-to/manage-costs.md

@@ -7,7 +7,7 @@ ms.custom: subject-cost-optimization
 ms.service: cognitive-services
 ms.subservice: openai
 ms.topic: how-to
-ms.date: 02/10/2023
+ms.date: 02/13/2023
 ---
 
 
@@ -35,6 +35,10 @@ Azure OpenAI base series and Codex series models are charged per 1,000 tokens. C
 
 Our models understand and process text by breaking it down into tokens. For reference, each token is roughly four characters for typical English text.
 
+Token costs are for both input and output. For example, if you have a 1,000 token JavaScript code sample that you ask an Azure OpenAI model to convert to Python. You would be charged approximately 1,000 tokens for the initial input request sent, and 1,000 more tokens for the output that is received in response for a total of 2,000 tokens.
+
+In practice, for this type of completion call the token input/output wouldn't be perfectly 1:1. A conversion from one programming language to another could result in a longer or shorter output depending on many different factors including the value assigned to the max_tokens parameter.
+
 ### Base Series and Codex series fine-tuned models
 
 Azure OpenAI fine-tuned models are charged based on three factors: