Why am I getting a 'gpt-4 does not exist' error despite having API access?

Below is some guidance based on the recent API updates:

Check the Model Name and Access

• Model Naming:
  OpenAI recently introduced new models (for example, GPT-4o) as highlighted in the release notes. If you're referencing "gpt-4" directly, ensure that you still have access to that specific version. In some cases, access may now be restricted or might require referencing an updated model name (e.g., "gpt-4o" or "gpt-4-turbo") depending on your account eligibility.

• Access Changes:
  Receiving an error like:

  PLAINTEXTCopied
  "The model: `gpt-4` does not exist"

  could mean one of two things:

  1. Your account may no longer have the required access for that particular model.
  2. The model endpoint you’re using has been updated, and your application needs to reflect this change.

Steps to Resolve

1. Review OpenAI Communications:
   Double-check any emails or announcements from OpenAI regarding changes to GPT-4 access. Sometimes the onboarding email details conditions or updates (such as a switch to GPT-4o).

2. Confirm Your API Request:
   Verify that you are using the correct model identifier. For example, if your code looks like:

   PYTHONCopied
   response = openai.ChatCompletion.create(
       model="gpt-4",
       messages=[{"role": "user", "content": "Hello!"}]
   )

   You might need to try updating it to:

   PYTHONCopied
   response = openai.ChatCompletion.create(
       model="gpt-4o",
       messages=[{"role": "user", "content": "Hello!"}]
   )

   Note: The exact model name change depends on your account’s eligibility and OpenAI’s current guidelines.

3. Reach Out to Support:
   If you’ve confirmed that your integration is correct, the next step is to reach out to OpenAI support. You can do this by:

   • Visiting the OpenAI Help Center and submitting a support ticket.
   • Using any in-dashboard support channels provided in your account.

4. Timing for Your Deployment:
   Since your application is scheduled for deployment next month, it’s advisable to address this promptly. Use any priority support channels that you have as a paying customer to minimize downtime or last-minute issues.

Final Note

Make sure to keep an eye on the OpenAI Release Notes and Changelog for any further updates that might affect your implementation. They provide historical and forward-looking information on any changes that could impact the models or API endpoints.

If you follow the above steps and adjust your API call accordingly, you should be able to resolve the issue or get the appropriate guidance from OpenAI support.

Good luck with your deployment!