An Azure service that provides access to OpenAI’s GPT-3 models with enterprise capabilities.
Thank you for reaching out to Microsoft Q&A.
I understand your concern regarding the deprecation of GPT-4.1-mini and GPT-4o, especially since your solution relies on Regional Standard deployments in Canada East or Canada Central to meet your data residency requirements.
At this time, Microsoft has not published a roadmap or timeline indicating when replacement models (such as GPT-5.x series) will become available as Regional Standard deployments in specific Azure regions. Model availability is determined by several factors, including regional capacity, infrastructure readiness, and rollout plans, and these details are announced as they become available.
In the meantime, here are a few recommendations that may help you evaluate your available options.
1. Verify Current Model Availability
The most up-to-date source for model availability is the Azure AI Foundry portal, as it reflects the current deployment inventory and may be updated before the documentation.
Navigate to:
Azure AI Foundry → Models + Endpoints → Deploy Model
Then filter by:
- Region: Canada East or Canada Central
Deployment Type: Regional Standard
This will show the models that are currently available for deployment in your selected region.
2. Understand Model Successors
When a model is deprecated, its replacement may not become available simultaneously across all Azure regions or deployment types.
If GPT-4.1-mini or GPT-4o is no longer available for new Regional Standard deployments in your region, the next step is to identify which successor models are currently supported in Canada East or Canada Central under the Regional Standard deployment type.
- Verify Quota and Access
If you expect a model to be available but do not see it in Azure AI Foundry, it's also worth verifying whether availability is being affected by:
Regional quota or capacity constraints.
Limited-access or gated model requirements.
Subscription-specific availability.
You can review your available quota in Azure AI Foundry Management Center under Quota.
4. Evaluate Alternative Deployment Options
If Regional Standard is not currently available for the desired replacement model, you may also consider whether one of the following deployment types meets your business and compliance requirements:
Global Standard
Provisioned Throughput (PTU)
Another Azure region that supports Regional Standard for the required model
However, if Canadian data residency is a strict requirement, Regional Standard deployment in a supported Canadian region remains the recommended approach.
Regarding Your Question on the Roadmap
Based on the currently published Microsoft documentation, there is no announced timeline for when GPT-5.x Regional Standard deployments will become available in Canada East or Canada Central.
The recommended approach is to:
Continue monitoring the Azure AI Foundry model availability documentation for updates.
Periodically check the Azure AI Foundry portal, as it reflects the latest supported models and deployment types.
Follow the published model lifecycle and retirement guidance as replacement models become available.
You can review the latest model availability here:
https://learn.microsoft.com/azure/ai-foundry/how-to/deploy-models#region-availability
Azure OpenAI models and regions for Foundry Agent Service (classic) — Standard availability tables (example region/model availability reference): https://learn.microsoft.com/azure/foundry-classic/agents/concepts/model-region-support?wt.mc_id=knowledgesearch_inproduct_azure-cxp-community-insider#available-models
Verify model support steps (how to check region/model/capabilities in Foundry classic): https://learn.microsoft.com/azure/foundry-classic/agents/concepts/model-region-support?wt.mc_id=knowledgesearch_inproduct_azure-cxp-community-insider#verify-model-support
I Hope this helps. Do let me know if you have any further queries.
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