Hello @theJames
Greetings! Thank you for reaching out and for providing the screenshots and error details.
Based on the information shared, the issue does not appear to be related to the GPT-4o-mini model itself. Instead, the deployment is being blocked by an Azure policy restriction associated with the subscription being used.
The key indicator is the error message:
RequestDisallowedByAzure "This policy maintains a set of best available regions where your subscription can deploy resources. The objective of this policy is to ensure that your subscription has full access to Azure services with optimal performance. Should you need additional or different regions, contact support."
When Azure AI Foundry creates a model deployment, it may automatically provision an underlying Azure OpenAI resource in a region that supports the selected model and deployment type.
In your case:
You are using an Azure for Students subscription.
Your existing Azure OpenAI resources can only be created in Korea Central and Japan East.
During model deployment from Foundry, the deployment workflow attempts to create resources in East US 2 or Sweden Central because those are currently the regions available for the selected model/deployment combination.
The deployment is then rejected by a subscription-level policy before resource creation completes.
The failure occurs during Azure Resource Manager (ARM) template deployment, which is why the error returned is InvalidTemplateDeployment RequestDisallowedByAzure
Why do only East US 2 and Sweden Central appear?
The list of available deployment locations in Azure AI Foundry is determined by several factors:
Model availability by region
Deployment type support (Standard, Global Standard, Provisioned, etc.)
Available quota for the model in that region
Subscription eligibility and regional restrictions
For the selected model/version, Foundry currently determines that East US 2 and Sweden Central are eligible deployment targets. However, your subscription policy is preventing deployment in those regions.
Can I deploy GPT models in Korea Central instead?
Possibly, but only if all of the following conditions are met:
The specific model (GPT-4o-mini) is available in Korea Central.
The selected deployment type is supported in Korea Central.
Your subscription has quota for that model in Korea Central.
No Azure policy restrictions block deployment in that region.
If any of these conditions are not met, Foundry will select another supported region or prevent deployment entirely.
Check model availability and quota
You can also verify Azure AI Foundry
Management → Quotas
Models + Endpoints → Deployments
Review whether GPT-4o-mini is available for:
Korea Central
Japan East
and whether quota is assigned for those regions.
Important note regarding Azure for Students subscriptions
Azure for Students subscriptions can have additional governance controls and regional restrictions compared to standard Pay-As-You-Go subscriptions. As a result:
- Not all Azure regions may be available.
- Not all Azure OpenAI deployment scenarios may be supported.
- Certain automatically provisioned resources may be blocked by policy even when the primary service appears available.
Please refer this
Azure AI Foundry Region Support: https://learn.microsoft.com/azure/ai-foundry/reference/region-support
Azure OpenAI Quotas and Limits: https://learn.microsoft.com/azure/ai-services/openai/quotas-limits
Azure Policy Overview: https://learn.microsoft.com/azure/governance/policy/overview
Azure AI Foundry Project Creation: https://learn.microsoft.com/azure/ai-foundry/how-to/create-projects
Deploy a model in Azure AI Foundry (how to deploy, deployment types, etc.):https://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/create-resource?pivots=web-portal
I Hope this helps. Do let me know if you have any further queries.
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Thank you!