Hi everyone,
I wanted to share a finding regarding persistent 503 errors with the Gemini API. While the error message suggests “high traffic,” my testing indicates this status code may also be used to mask abuse detection or IP-based throttling.
My experience
My API usage was stable (even at high RPD) until my wife began using her own API key on our shared home internet connection. Immediately after she started making requests, I began receiving persistent 503 errors.
Diagnosis
From the server’s perspective, two distinct keys originating from the same residential IP likely triggered a “key rotation” or evasion heuristic.
Evidence: The Google status dashboard showed all systems operational.
Testing: When I generated a fresh API key and replaced the old one, the 503 errors vanished immediately (though the fix was temporary).
Another Testing: I requested my wife to stop using her own API key, and let her share my API key, so that there would be only one API key used within single ISP line. No more 503 errors.
Feedback
While I understand the need for strict abuse flagging—especially given the generous complimentary credits and some models available with free tier—returning a generic “Model is experiencing high demand” message is misleading. It sends developers down the wrong troubleshooting path (waiting for load to drop) rather than addressing the actual trigger (local network/IP reputation).
It would be helpful if the flagging mechanism were more delicate regarding multiple users on shared IPs, or if the error codes were more transparent about the actual rejection reason.