Lately, 25% of requests to the Gemini 2.5 Pro API are returning a 500 error message. Did something change and is there a way we can fix this?
1 Like
Hi @Matt_F,
Welcome to the Forum,
I have not encountered any issues with the Gemini 2.5 Pro API. A 500 error (“INTERNAL”) typically indicates a Google-side issue, not a problem with your request. This can occur due to long input contexts or internal API/server failures. The usual fix is to wait and retry.
For persistent 500 errors, the documentation at Troubleshooting guide | Gemini API | Google AI for Developers recommends reducing input context or trying a different model should work.
Thank you!