> ## Documentation Index
> Fetch the complete documentation index at: https://hobbyist-e43fa225.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Azure OpenAI in Microsoft Foundry Models Quotas and Limits in Azure Government

> This article features detailed descriptions and best practices on the quotas and limits for Azure OpenAI in Azure Government.

This article contains a quick reference and a detailed description of the quotas and limits for Azure OpenAI in Azure Government.

## Scope of quota

Quotas and limits aren't enforced at the tenant level. Instead, the highest level of quota restrictions is scoped at the Azure subscription level.

## Regional quota allocation

Tokens per minute (TPM) and requests per minute (RPM) limits are defined *per region*, *per subscription*, and *per model or deployment type*.

For example, if the `gpt-4.1` DataZone Standard model is listed with a quota of *5 million TPM* and *5,000 RPM*, then *each region* where that [model or deployment type is available](../../foundry-models/concepts/models-sold-directly-by-azure-gov) has its own dedicated quota pool of that amount for *each* of your Azure subscriptions. Within a single Azure subscription, it's possible to use a larger quantity of total TPM and RPM quota for a given model and deployment type, as long as you have resources and model deployments spread across multiple regions.

### Quota tiers

In Azure Government, we don't support Quota Tiers or automatic adjustments to quota. Instead, we provide two levels including a Default level and an Enterprise level for customers with an Enterprise Agreement.

### Can I request more quota?

Yes, using the [Azure Gov Quota Request Form](https://aka.ms/AOAIGovQuota) you can always request more quota. If the request is approved, the current tier will remain the same, but with more quota assigned.

### Azure Government quota reference

<Tabs>
  <Tab title="DataZone Standard">
    ### DataZone Standard Tokens Per Minute (TPM)

    | Model Name   | Default TPM | Enterprise TPM |
    | :----------- | ----------: | -------------: |
    | gpt-5.1      |     300,000 |      1,000,000 |
    | gpt4.1       |     300,000 |      2,000,000 |
    | gpt-4.1-mini |     300,000 |      2,000,000 |
    | gpt-4o       |     300,000 |     10,000,000 |
    | o3-mini      |     200,000 |        200,000 |
  </Tab>

  <Tab title="Standard">
    ### Standard Tokens Per Minute (TPM)

    | Model Name             | Default TPM | Enterprise TPM |
    | :--------------------- | ----------: | -------------: |
    | gpt4.1                 |     300,000 |      2,000,000 |
    | gpt-4.1-mini           |     300,000 |      2,000,000 |
    | gpt-4o                 |      80,000 |         80,000 |
    | text-embedding-3-large |     350,000 |        350,000 |
    | text-embedding-3-small |     350,000 |        350,000 |
    | text-embedding-ada-002 |     350,000 |        350,000 |
  </Tab>
</Tabs>

### General best practices to remain within rate limits

To minimize issues related to rate limits, it's a good idea to use the following techniques:

* Implement retry logic in your application.
* Avoid sharp changes in the workload. Increase the workload gradually.
* Test different load increase patterns.
* Increase the quota assigned to your deployment. Move quota from another deployment, if necessary.

## Regional quota capacity limits

You can view quota availability by region for your subscription in the [Foundry portal](https://ai.azure.us/resource/quota).

To view quota capacity by region for a specific model or version, you can query the [capacity API](https://learn.microsoft.com/rest/api/aiservices/accountmanagement/model-capacities/list) for your subscription. Provide a `subscriptionId`, `model_name`, and `model_version` and the API returns the available capacity for that model across all regions and deployment types for your subscription.

<Note>
  Currently, both the Foundry portal and the capacity API return quota/capacity information for models that are [retired](../concepts/model-retirements) and no longer available.
</Note>

## Related content

* Explore how to [manage quota](https://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/quota) for your Azure OpenAI deployments.
* Learn more about the [underlying models that power Azure OpenAI](../../foundry-models/concepts/models-sold-directly-by-azure-gov).