TPM quota stuck at 0 for Foundry Models (Azure OpenAI + Anthropic) — requests rejected regardless of region,

Winston Martinez 0 Reputation points
2026-09-01T11:57:47.45+00:00

I'm on a Pay-As-You-Go subscription with 0 TPM quota for Foundry Models (Azure OpenAI + Anthropic). I submitted the quota increase request form and got this response:

"At this time your quota increase request cannot be granted. The region you requested a quota increase in is not available to expand capacity at this time. Please expand your regional choices when submitting a new request or wait 30+ days before resubmitting for a quota increase within the same region again."

The problem: the form itself has no region selection field — it only asks for Model Type, Quota Request Type (Global Standard), Model, and Quota amount. There's nothing for me to "expand" regionally since I never chose a region in the first place.

I've tried this across multiple models (gpt-5.6-luna, gpt-5.6-tera, gpt-5.6-sol, claude-sonnet-5, claude-opus-5, claude-fable-5) and get the identical rejection every time.

My actual question: please just grant me a working quota, even a small one, for at least one model, so I can actually deploy and use it. I don't need a large allocation — I just need something functional to get started.

Subscription ID: 01a48590-ff11-4689-be84-0798edabffe7 Plan: Pay-As-You-Go

Azure OpenAI in Foundry Models
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  1. Winston Martinez 0 Reputation points
    2026-09-02T20:25:54.4833333+00:00

    Hi @Allan Solomon Mejia
    Thank you for the clarification. All GPT-5.6-series models and all Anthropic models currently show 0 TPM quota on my Pay-As-You-Go subscription. I have already contacted Azure Support, but I have not received a useful resolution.

    I understand that Q&A contributors cannot grant quota directly. Could you please escalate or route my case to the Microsoft team responsible for Foundry quota allocation? I am not requesting a large allocation—please approve the smallest available non-zero TPM quota for any eligible GPT-5.6 or Anthropic model so I can deploy and test it.

    If escalation is not possible here, please connect me to that team member .

    I hope that I will get right good news .

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  2. Allan Solomon Mejia 7,915 Reputation points
    2026-09-02T20:13:43.94+00:00

    Hello @Winston Martinez

    The important distinction here is that Global Standard quota is increasingly managed at the subscription/model level rather than by selecting an individual region. Models onboarded to subscription-level quota management use one Global Standard quota pool across regions.

    So the rejection message telling you to “expand your regional choices” does appear confusing when the quota request form for that model/deployment type doesn't expose a region field.

    However, Microsoft Q&A/community members cannot grant TPM quota. Quota increases depend on Microsoft's available capacity and subscription eligibility, and Microsoft notes that requests can be denied based on capacity and existing quota usage.

    Since your subscription currently shows 0 TPM across multiple Azure OpenAI and Anthropic models, rather than just one constrained model, open an Azure Support request for Microsoft Foundry quota/subscription eligibility and ask them to review whether the subscription is eligible for an initial allocation. Include the rejected quota-request details and explain that the form provides no region selector despite the regional-capacity rejection.

    Also check Foundry → Manage → Quota and verify the Scope shown for the affected models. Global indicates subscription-level Global Standard quota, while a named region indicates regional quota management.

    Reference: Manage Foundry quota

    Avoid resubmitting the same quota form repeatedly. Microsoft needs to review the underlying 0-quota subscription state, especially since the same rejection is occurring across multiple model families.

    Help make this community better for everyone: if this answer resolved your issue, please accept it or upvote it. If not, share more details in a comment so we can continue the discussion and find the right solution.

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