Azure OpenAI: Unable to deploy GPT-6 models in East US — Policy and quota issues

Question

Azure OpenAI: Unable to deploy GPT-6 models in East US — Policy and quota issues

EdBloomfield-9109 0

Problem description

I am trying to deploy GPT-6 models (gpt-6-astra, gpt-6-luna, gpt-6-sol) in my Azure OpenAI resource located in East US. While I can deploy GPT-5 models like gpt-5-mini and gpt-5.4-mini, I receive an error stating that the GPT-6 models cannot be deployed due to a policy in my subscription. Additionally, these GPT-6 models appear to have insufficient quota across all regions. I am seeking to understand why this is happening and how to resolve the deployment restrictions.

Environment

Azure OpenAI service, resource in East US, Standard S0 tier, subscription with Owner permissions.

What I've already tried

I have verified that I can deploy GPT-5 models, indicating the resource is functional. I attempted to deploy GPT-6 models, but they failed with policy and quota messages. I have not yet submitted quota requests for GPT-6 models, nor have I checked the quota allocations or model access policies in detail.

Current status

I am looking for guidance on how to obtain the necessary quota and access policies to deploy GPT-6 models in East US, and whether I need to request additional quota or change my subscription tier to support these models.

Ganesh Gurram 7,570 Reputation points Microsoft External Staff Moderator

2026-10-10T16:54:24.54+00:00
Hello @EdBloomfield-9109

Thanks for the question and using MS Q&A forum.

The issue may be related to subscription-level model eligibility, quota availability, or both. Having sufficient quota for GPT-5 models such as gpt-5-mini and gpt-5.4-mini does not necessarily mean that quota is available for gpt-6-astra, gpt-6-luna, or gpt-6-sol, as quota allocations can vary by model and deployment type.

Please navigate to Microsoft Foundry → Management center → Quota and check the available quota for the affected GPT-6 models and intended deployment type. If the available quota is insufficient, you can submit a quota increase request through the quota management experience. request a quota increase

If the deployment error explicitly indicates a subscription policy or model eligibility restriction, please share the complete error message and error code. This should be investigated separately, as increasing quota alone may not resolve a subscription-level restriction.

Changing the existing Azure OpenAI resource from the Standard S0 tier is not necessarily required. We recommend first verifying the model availability, subscription eligibility, and quota allocation before making changes to the resource or subscription.

Microsoft documentation:

Manage Azure OpenAI quota

Azure OpenAI quotas and limits

Hope this helps. Do let us know if you have any further queries!

Your answer

Ganesh Gurram 7,570 Reputation points Microsoft External Staff Moderator

2026-10-10T16:54:24.54+00:00

Hello @EdBloomfield-9109

Thanks for the question and using MS Q&A forum.

The issue may be related to subscription-level model eligibility, quota availability, or both. Having sufficient quota for GPT-5 models such as gpt-5-mini and gpt-5.4-mini does not necessarily mean that quota is available for gpt-6-astra, gpt-6-luna, or gpt-6-sol, as quota allocations can vary by model and deployment type.

Please navigate to Microsoft Foundry → Management center → Quota and check the available quota for the affected GPT-6 models and intended deployment type. If the available quota is insufficient, you can submit a quota increase request through the quota management experience. request a quota increase

If the deployment error explicitly indicates a subscription policy or model eligibility restriction, please share the complete error message and error code. This should be investigated separately, as increasing quota alone may not resolve a subscription-level restriction.

Changing the existing Azure OpenAI resource from the Standard S0 tier is not necessarily required. We recommend first verifying the model availability, subscription eligibility, and quota allocation before making changes to the resource or subscription.

Microsoft documentation:

Manage Azure OpenAI quota

Azure OpenAI quotas and limits

Hope this helps. Do let us know if you have any further queries!