openai / openai/codex

Persistent "Selected model is at capacity" error across multiple models in Codex CLI, while other accounts work

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bug CLI rate-limits
Dominant language
Rust
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Forks
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Description

What version of Codex CLI is running?

codex-cli 0.154.0

What subscription do you have?

pro 5x

Which model were you using?

gpt-5.6-sol , gpt-6-astra

What platform is your computer?

No response

What terminal emulator and version are you using (if applicable)?

No response

Codex doctor report

What issue are you seeing?

Codex CLI repeatedly displays the following error:

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

Switching to another model does not resolve the issue. My other accounts
can use Codex normally, but I have not yet confirmed whether the affected
and working accounts use exactly the same model, Fast mode settings,
and other configuration.

What steps can reproduce the bug?

Uploaded thread: 01a0a95f-750e-7a10-a654-ff3fa9f3b822

What is the expected behavior?

No response

Additional information

No response

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the Codex CLI 0.154.0 behavior around the reported capacity error and inspect the uploaded thread 01a0a95f-750e-7a10-a654-ff3fa9f3b822. Compare the affected and working accounts' models, Fast mode settings, and other configuration; the issue is done when the account-specific failure is reproduced and the cause is identified or the error no longer occurs across the reported models.

Written by the indexing model from the issue text.

Assessment

Tech stack
cli
Domain
cli
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
35/100

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