Formerly known as Azure AI Services or Azure Cognitive Services is a unified collection of prebuilt AI capabilities within the Microsoft Foundry platform
I understand, thanks.
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I'm trying t o set up a resource in Azure FOundry but every model I choose shows "The model is not available in this resource."
Formerly known as Azure AI Services or Azure Cognitive Services is a unified collection of prebuilt AI capabilities within the Microsoft Foundry platform
I understand, thanks.
Hello Simon Holman,
Welcome to Microsoft Q&A and Thank you for reaching out.
You’re seeing “The model is not available in this resource” because the resource currently cannot deploy or access that model. This is typically due to configuration, region, access, or deployment setup rather than a platform issue. Below is a consolidated checklist to help you resolve it.
1.Region Availability
Model availability is region-specific. Some models (for example GPT-5 family models) are only available in limited regions such as East US 2 or Central US.
If your Foundry / Azure OpenAI resource was created in a region that does not support the selected model, the portal will show:
“The model is not available in this resource.”
Verify the region of your resource and confirm the model is supported in that region.
2.No Model Deployment Created Yet
Models are not automatically deployed when you create a resource.
If no deployment exists, the UI may show models as unavailable.
Go to Models → Deploy model → Select model → Deploy
After successful deployment, it becomes usable.
3.Subscription Access / Gated Model Approval
Some models (especially newer or advanced ones) require:
Gated access approval
Explicit subscription enablement
Private preview enrollment
If your subscription is not approved for that model family, it will appear but be marked unavailable.
Check whether the model requires special approval and confirm your subscription has access.
4.Incorrect Resource Type
Ensure you created the correct resource type:
Not Speech, not Multi-service Cognitive Services, not another AI service
If the resource type is incorrect, models will not be deployable.
5.RBAC / Permissions
Make sure your account has sufficient permissions:
At least Reader role on the resource/project
For deployment: Cognitive Services OpenAI Contributor (or equivalent)
Without proper RBAC, the portal may show models as unavailable.
6.Market / Geographic Restrictions
Some `SKUs are not available in certain countries or sovereign clouds. Even if the region supports the model, the subscription’s billing geography can affect availability.
7.Quota Limit Reached
If your subscription has exhausted model quota (TPM/RPM or deployment limits), new deployments may not be allowed.
Check quota limits in the Azure portal and request an increase if needed.
8.Network Restrictions
If public access is disabled and private endpoint DNS is misconfigured, the portal may fail model validation and show this generic message.
Please refer this
I Hope this helps. Do let me know if you have any further queries.
Thank you!