Confirmation of Azure AI Foundry Access and Credit Usage for GPT-5.5 and GPT-Image-2

Hello @Ritabrata Chakraborty

For Azure AI Foundry deployments, billing is associated with the Azure subscription that contains the underlying Azure AI/OpenAI resource used for the deployment. If your deployment is created in the subscription that has sponsorship credits, any eligible usage charges are generally applied to that subscription.

Regarding model availability, seeing gpt-5.5 or gpt-image-2 in the Azure AI Foundry catalog indicates that the models are available for discovery in that region, but it does not guarantee that deployment will succeed for every subscription. Deployment can still depend on factors such as:

• Regional availability
• Subscription eligibility or limited-access requirements
• Available quota
• Supported deployment type
• Required permissions on the target resource

To verify whether you can deploy and use these models:

1. In Azure AI Foundry, go to Models + Endpoints > Deploy model and confirm that the model is available for your selected region and deployment type.
2. Check Management Center > Quota to ensure quota is available for the model.
3. Verify that you have the appropriate permissions on the target Azure AI/OpenAI resource.
4. If the model requires gated access, ensure approval has been granted for your subscription.

For sponsorship credits, the authoritative place to verify remaining balance and billing consumption is Azure Portal > Cost Management + Billing. Azure AI Foundry does not currently provide a dedicated view for tracking remaining sponsorship credits.

If you can share:

• The Azure resource type being used (Azure OpenAI resource or Azure AI resource),
• The subscription where the deployment will be created,
• Any deployment error messages you are seeing,

we can help review your specific scenario further.

References

• Azure AI Foundry model availability and deployment guidance https://learn.microsoft.com/azure/foundry/foundry-models/concepts/models-sold-directly-by-azure

Azure OpenAI limited access information Limited Access

Azure Cost Management and Billing https://learn.microsoft.com/azure/cost-management-billing/

I hope this helps. Please let us know if you need further clarification.

Thankyou!

Hello Ritabrata Chakraborty,

Greetings! Thanks for raising this question in the Q&A forum

You are asking three separate things: billing attribution, model access, and where to check credit balance. Here is a clear breakdown for each.

1. Confirm billing against your sponsorship credits Any usage under an Azure AI Foundry project is billed to the Azure subscription that the underlying Foundry resource belongs to, not to the project or workspace itself. Since your Foundry resource sits in f0ee08e6-ae4a-4a26-8a4a-3348a7ffbae9 (Subscription 1), all consumption including model deployments (PTU or provisioned), pay-as-you-go inference, storage, and any connected AI Search or Content Safety usage will be charged against that subscription. If that subscription is a Microsoft for Startups / Y Combinator credit-based offer, Azure automatically applies available monetary credit against eligible charges first, before any other payment method on the subscription is charged. You can verify this by checking:

      Azure Portal > Subscriptions > Subscription 1 > Overview
   

   Confirm the Offer type shown there matches a credit-based Startups offer, since not all charge types are always eligible against every credit offer (for example, Marketplace or third-party billed SKUs are sometimes excluded).
2. Model catalog visibility versus access approval GPT-5.5 and gpt-image-2 are both Foundry Models sold directly by Azure (first-party OpenAI models), not partner or limited-access community models. For this category, seeing a model in the catalog for East US 2 generally does mean your subscription is eligible to deploy it there, without a separate onboarding form. However, two things can still block a deployment even when the model shows in the catalog:
   • Quota: your subscription needs available quota (TPM/RPM or PTU) for that specific model and deployment type in that region. Check this under

          Azure AI Foundry portal > Management Center > Quota
     

     or in the Azure Portal under your Azure OpenAI/Foundry resource, "Quotas" blade.
   • Content/Limited Access programs: some capabilities within a model (for example higher-risk image editing scenarios) can require Limited Access registration even when the base model itself does not. If you attempt a deployment and get a "Model not available" or "Access restricted" error despite the catalog showing it, that is the usual cause, and you would need to submit the relevant Limited Access request from the Foundry portal at that point.
   In short, catalog visibility is a strong signal but not a guarantee. The reliable way to confirm is attempting the deployment and checking the Quota blade before you do so.
3. Where to check remaining credit balance Azure AI Foundry itself does not surface a credit balance anywhere in its portal. Cost Management + Billing in the main Azure Portal is the only authoritative source for this. Use:

      Azure Portal > Cost Management + Billing > Subscription 1 > Overview
   

   This shows the remaining credit balance, burn rate, and forecasted exhaustion date. For a more granular view of what is consuming credit (for example, isolating Foundry/OpenAI usage specifically), use:

      Cost Management + Billing > Cost analysis > filter by Resource Group or Service name = Azure OpenAI / Cognitive Services
   

   This lets you track Foundry-specific spend against the sponsorship credit before you scale up usage.

If this answer helps you kindly accept the answer which will help others who have similar questions.

Best Regards,

Jerald Felix.