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Codex Desktop unusable: "Selected model is at capacity" for all models on my account #39643

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@yuqi621

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

Version 26.814.41407

What subscription do you have?

ChatGPT Pro 20x

What platform is your computer?

Darwin 25.5.0 arm64 arm

What issue are you seeing?

I am unable to use Codex Desktop on my account.

Codex consistently returns:

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

The issue happens for:

  • Every conversation
  • Every prompt, including simple prompts like "hi"
  • Every available model, except GPT-5.4 Mini and GPT-5.3 Codex Spark
  • Different reasoning effort settings

Models tested:

  • GPT-5.6 Terra
  • GPT-5.6 Luna
  • GPT-5.5
  • GPT-5.4

The error still occurs after switching models.

Important observations:

  • ChatGPT works normally with the same account.
  • The same account has the same issue on another computer.
  • Another user's account works normally on the same computer.
  • GPT-5.3-codex-spark worked for one conversation turn, then failed with the same error.

Sometimes Codex starts processing successfully (for example, web search starts), but the final response is replaced by the capacity error.

This looks like an account-specific Codex routing/admission issue rather than a temporary model capacity problem.

What steps can reproduce the bug?

  1. Open Codex Desktop.
  2. Sign in with my ChatGPT Pro account.
  3. Start a new conversation.
  4. Select any available model.
  5. Send any prompt (even "hi").
  6. Wait for response.
  7. The request fails with:

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

  1. Switching to another model produces the same result.

The issue reproduces consistently across different machines.

What is the expected behavior?

Codex should process the request normally using the selected model.

Changing between available models should allow the request to continue when one model has capacity issues.

Additional information

I have already tested:

  • Different Codex models
  • Different conversations
  • Different prompts
  • Different machines

The issue appears isolated to my account because:

  • My account fails on multiple devices.
  • Other accounts work on the same device.

The same issue happens when I use Chatgpt desktop and Codex cli

Please investigate:

  • Account entitlement/status
  • Codex backend routing
  • Model admission control
  • Possible account-level throttling or corrupted state

Screenshot attached showing the repeated error across multiple models.

Image

Activity

  1. added
    appIssues related to the Codex desktop app
    on Aug 20, 2026
  2. yuqi621 commented on Aug 20, 2026

    @yuqi621
    Author

    This issue prevents me from using Codex completely. Please let me know if you need account diagnostic information privately.

  3. added
    bugSomething isn't working
    rate-limitsIssues related to rate limits, quotas, and token usage reporting
    on Aug 20, 2026
  4. yuqi621 commented on Aug 20, 2026

    @yuqi621
    Author

    btw, I can use chatgpt in website and in ChatGPT desktop normally, the only abnormal is codex

  5. 58420LR commented on Aug 20, 2026

    @58420LR

    I'm having the same issue today, man. I can use ChatGPT normally o

    Image

    n the website and the desktop app, but the only thing acting up is Codex.

  6. shaggyrs6-netizen commented on Aug 27, 2026

    @shaggyrs6-netizen

    Same here

  7. miaomiaoyaoqimiaomaoxian commented on Sep 6, 2026

    @miaomiaoyaoqimiaomaoxian

    Additional Windows report: switching models does not resolve capacity errors

    I am also experiencing repeated failures in Codex desktop with this exact message:

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

    During affected periods, every model I try fails, including 5.3. Following the suggestion to switch models does not restore usable access, and this blocks my conversations and work. Requests can sometimes proceed afterward, so this report is about recurring periods of unusability, not a claim that every request always fails.

    Environment

    • Codex desktop on Windows, x64, OS build 10.0.26200.
    • Installed Windows application package: OpenAI.Codex, version 26.901.6511.0 (queried locally; this is the package version, not a version copied from the About dialog).
    • Report date: September 7, 2026, UTC+08:00.

    Steps observed

    1. Send or continue a request in a Codex conversation.
    2. Encounter the capacity message above.
    3. Switch to another model as suggested and try again.
    4. The same error recurs across models, leaving no usable fallback during the affected period.

    Local diagnostic evidence

    A read-only query of local Codex logs confirmed actual Turn error entries, not just quoted error text, for these models on September 6, 2026 (UTC):

    Model Example failure time (UTC)
    gpt-5.6-sol 17:33:32
    gpt-5.6-luna 17:39:33
    gpt-5.6-terra 17:40:00
    gpt-6-astra 17:48:27

    The failure with 5.3 is my reported observation; its exact model variant and a corresponding log entry were not independently established in this query.

    Previously submitted in-app feedback

    I already used the in-app feedback command (/反馈) but did not save the displayed feedback identifier. Local logs recovered the following successful uploads:

    Upload completed (UTC) Local time (UTC+08:00) Associated thread/session ID
    2026-09-06 17:37:05 2026-09-07 01:37:05 01a05eb4-6d9d-7cd2-8bae-207d9839f69b
    2026-09-06 17:41:41 2026-09-07 01:41:41 019fbc33-ce13-7cf2-be7b-0749dac979f8

    Both backend log entries state feedback event uploaded to Sentry, uploaded_attachments=18, and attachments_failed=false. Both corresponding desktop feedback/upload calls completed with errorCode=null.

    These are verified thread/session IDs associated with the uploaded feedback, not claimed to be separate Sentry event IDs or RPC request IDs. A separate feedback event ID was not found in the inspected records. Please use the thread IDs and upload times to locate the existing diagnostic bundles.

    Expected behavior / request

    Switching to an available model should provide a working fallback. If a broader capacity or access condition affects all selectable models, please show actionable guidance rather than repeatedly suggesting a model switch that does not help.

    Please investigate the cross-model failures and correlate them with the uploaded feedback. The root cause (capacity, routing, account access, or another condition) has not been established by this report.

    This follow-up adds Windows environment details and verified feedback-upload references to the existing issue. No raw conversation contents, credentials, or full local logs are included.

  8. ChicoSir commented on Sep 8, 2026

    @ChicoSir

    Image跟你一样,现在无解。怎么问都会出现。《Selected model is at capacity. Please try a different model.》

    Image
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