Selected model is consistently at capacity on Codex App/CLI

What version of the Codex App are you using (From “About Codex” dialog)?

App: 26.901.51231, CLI: 0.153.4

What subscription do you have?

ChatGPT Pro

What platform is your computer?

The issue occurs on both macOS and Windows. macOS: Darwin 25.6.0 arm64 arm Windows 11: Microsoft Windows NT 10.0.26200.0 x64

What issue are you seeing?

Codex consistently fails to start or continue tasks and displays:

Selected model is at capacity. Please try a different model.

Retry

The issue persists across all available models and reasoning levels. Switching to another model or changing the reasoning level does not resolve the problem.

Retrying also does not reliably resolve the issue.

I have reproduced the same behavior on both macOS and Windows while using a ChatGPT Pro subscription.

Because the error affects all models and reasoning levels rather than a single model, it appears that the problem may not be isolated to the capacity of one specific model.

What steps can reproduce the bug?

1. Open the Codex App.
2. Select any available model.
3. Select any reasoning level.
4. Open an existing project or start a new session.
5. Submit a coding prompt or task.
   Codex fails with:
   Selected model is at capacity. Please try a different model.
6. Click Retry.
   The same error persists.
7. Switch to another model and retry.
8. Change the reasoning level and retry.
   The same capacity error continues to occur.

I have reproduced this behavior across all available models/reasoning levels and on both macOS and Windows 11.

What is the expected behavior?

Codex should process the request using the selected model and reasoning level.

If one particular model is temporarily at capacity, switching to another available model should allow the task to proceed. A capacity issue affecting one model should not prevent all other models and reasoning levels from working.

If there is an account-wide, service-wide, or subscription-related capacity restriction, Codex should provide an appropriate error message instead of reporting that the individually selected model is at capacity.

Additional information

• Subscription: ChatGPT Pro
• Reproduced on both macOS and Windows
• Persists across all available models
• Persists across different reasoning levels
• Switching models does not resolve the issue
• Changing reasoning level does not resolve the issue
• Retrying does not consistently resolve the issue
• Occurs in new sessions with little or no context
• The behavior appears broader than a capacity issue affecting one specific model

Main error:
Selected model is at capacity. Please try a different model.

No repository file or test is named. Start by reproducing the capacity error in the Codex App or CLI across models and reasoning levels on the reported platforms, then trace the request and error-handling entry point. Done means distinguishing a single-model capacity error from an account-wide or service-wide restriction and presenting the appropriate behavior or message.