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On Free Azure subscription No quota error on deploying GPT-4o model

Leena Naik 25 Reputation points
2026-02-10T20:55:12.41+00:00

I have free Azure Subscription. I did the 'Introduction to AI in Azure' and now attempting the labs for AI-102. I get this error. I have used the 50K out of 50K TPM for Sweden Central and East US regions.

I tried creating the resource in other supported regions. Yet deployment gives me following error.

Insufficient quota for selected options There are no locations with enough quota to deploy this model with the selected deployment type and version. You can try selecting a different deployment type or model version, or manage your quota.

Do I have to upgrade to 'Developer' PAYG model?

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  1. Himanshu Shekhar 4,025 Reputation points Microsoft External Staff Moderator
    2026-02-10T21:34:35.7333333+00:00

    Hello Leena Naik Yes if you need more Azure OpenAI quota (TPM/RPM) than what a free subscription provides, you usually need to upgrade to a paid subscription (Pay-As-You-Go / Developer). However, upgrading by itself doesn’t automatically increase your quota; it mainly allows you to request quota increases and access quota-management features that aren’t available on free or trial subscriptions.

    Azure OpenAI quota is enforced per subscription, per region, and per model/deployment type. When you create a deployment, you assign a TPM value to it, which consumes that model’s available quota in that region. Once the quota is exhausted, you can’t create additional deployments unless you free up TPM from existing deployments or have a quota increase approved. https://learn.microsoft.com/en-us/azure/ai-foundry/openai/quotas-limits?view=foundry-classic&tabs=REST

    If you’ve already allocated the full 50K TPM in regions like Sweden Central and East US, the Azure portal can correctly show “no regions with sufficient quota” for that model, deployment type, and version. This can happen even if the model is technically supported in other regions, because your subscription has no remaining quota there (or quota/capacity hasn’t been granted for that specific model and deployment combination). https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/quota?view=foundry-classic&tabs=rest

    What you can do right now (without upgrading):

    If you’ve hit the TPM quota, the only way forward is to free up TPM. Microsoft’s guidance is clear: you can’t create new deployments until TPM is reduced on existing ones.

    For labs, this simply means lower the TPM on current deployments or delete unused ones, then try creating the new deployment again.

    The Microsoft Learn quota article states that when you’ve hit the quota limit, you can create new deployments only by freeing TPM or by requesting and being approved for a quota increase in the desired region (https://learn.microsoft.com/en-us/azure/quotas/quickstart-increase-quota-portal).

    And the Azure Quotas quick start explicitly notes that while you can create a free account, to adjust quota you need to upgrade to a paid subscription.

    Regards

    Himanshu

  2. Q&A Assist
    2026-02-10T20:56:26.17+00:00
    AI generated content. This question contains an answer created with AI from Q&A Assist. Learn more

    If you are encountering a quota error while trying to deploy the GPT-4o model on a free Azure subscription, it indicates that you have reached the limit of your available Tokens-per-Minute (TPM) for the regions you are attempting to use. Since you mentioned that you have used the full 50K TPM for both Sweden Central and East US regions, you will not be able to create additional deployments in those regions without either reducing the TPM assigned to existing deployments or requesting a quota increase.

    Upgrading to a 'Developer' Pay-As-You-Go (PAYG) model may provide you with a higher quota, allowing you to deploy the model successfully. However, you will need to check the specific quota limits associated with the Developer PAYG subscription to confirm if it meets your needs.

    In summary, to resolve the quota issue, you can:

    1. Reduce the TPM assigned to existing deployments to free up quota.
    2. Upgrade your subscription to gain access to a higher quota.
    3. Consider deploying in other regions where you might have available quota, if applicable.

    References:

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