Azure AI Foundry: Bicep deployment fails with model quota or region capacity error

TL;DR

Either request a quota increase for the model in that region, or deploy to a different region: azd env set AZUREAIDEPLOYMENTS_LOCATION [new-region] followed by azd up. Check current usage first with az cognitiveservices usage list --location [region], and list available models per region with az cognitiveservices model list --location [region] before retrying.

The error

Bicep deployment fails with model quota or region capacity error

Fix

1. Either request a quota increase for the model in that region, or deploy to a different region: azd env set AZUREAIDEPLOYMENTS_LOCATION [new-region] followed by azd up. Expected: You get the expected result; the problem is gone.

2. Re-run the original operation and confirm the error is gone. Expected: no error, normal output.

When to use

• You hit this exact error with Azure AI Foundry.
• The symptom matches: Bicep deployment fails with model quota or region capacity error.

When NOT to use

• A different error message from Azure AI Foundry; the cause here is specific to this error.
• Unrelated Azure AI Foundry issues (different feature, different failure).
• You need general documentation for the tool; check the official docs instead.

Compatibility

Reported against Azure AI Foundry. Source: https://github.com/microsoft/microsoft-iq-solution-accelerator/blob/HEAD/docs/foundry/DeploymentGuideFoundry.md.

Variant phrasings

Bicep deployment fails with model quota or region capacity error

Why it happens

Deploying an Azure AI Foundry project with azd fails when the Bicep template requests model deployments (e.g. gpt-5-mini at 150K TPM) that exceed the target region's quota or capacity. The deployment errors out on quota even though the template is valid.

Edge cases

• If your error message differs even slightly, this is probably a different issue; search the exact text.
• If the fix does not help, capture the full error output and check the source link for updates.

Source

https://github.com/microsoft/microsoft-iq-solution-accelerator/blob/HEAD/docs/foundry/DeploymentGuideFoundry.md

Source: Deploying an Azure AI Foundry project with azd fails when the Bicep template requests model deployments (e.g. gpt-5-mini at 150K TPM) that exceed the target region's quota or capacity. The deployment errors out on quota even though the template is valid.

Verified resolution: [Microsoft solution accelerator deployment guide]: Either request a quota increase for the model in that region, or deploy to a different region: azd env set AZUREAIDEPLOYMENTS_LOCATION [new-region] followed by azd up. Check current usage first with az cognitiveservices usage list --location [region], and list available models per region with az cognitiveservices model list --location [region] before retrying.

Source URL: https://github.com/microsoft/microsoft-iq-solution-accelerator/blob/HEAD/docs/foundry/DeploymentGuideFoundry.md