Gemini AI Error 503

How to Handle “Model is Overloaded” Error 503 When Using Gemini?

What is Error 503?

Error 503 signifies a “service unavailable” status in HTTP codes, indicating that the server is temporarily overloaded or down due to maintenance or capacity issues.

What is Model Overloaded?

“Model overloaded” occurs when an AI model or its server handles more requests than it can process, similar to a website traffic jam. This overloading can trigger a 503 Service Unavailable error, advising users to retry later.

Why is Gemini showing Error 503 Model is overloaded?

This indicates a temporary server issue, typically from overloading or maintenance on Google’s side, and is usually out of the user’s control.

How to resolve the Error 503 Model is overloaded?

Try different model versions. For example, if you get 503 error when using Gemini 2.5 Pro, you can try switching to Gemini 2.0 Flash because usually the issue is model-specific.

If it is still not working, wait and retry your request after 5 minutes. Meanwhile, keep checking Google Gemini’s Status Page for any updates: Google Gemini Status Page.

How long does it usually take to resolve a “Model overloaded” or “Error 503” issue?

Resolution times can vary; minor traffic spikes may clear up quickly in a few minutes, while technical or maintenance issues could take longer. Monitoring the status page or contacting support will provide updates.

Can I do anything to bypass or fix the Error 503 on my end?

Error 503 is generally a server-side issue. However, you can try the following to clean up anything that might get stuck on your side:
-Refresh your page.
-Clear your browser’s cache.
-Check your internet connection.
-Try accessing from a different browser or device to rule out local issues.