Standard Compute

All fixes · OpenAI · 503 · Rate limits

OpenAI Servers Overloaded (503)? Causes and Fixes

503 Model temporarily overloaded (server_is_overloaded)

“OpenAI servers overloaded” is a 503 error (code server_is_overloaded, message “Model temporarily overloaded”) meaning the model you called has no spare capacity right now, so wait as long as the Retry-After header says, retry with growing delays, and check status.openai.com if it keeps failing. It is OpenAI's capacity, not your account, quota or bill; a fallback model or provider keeps your app running through the spike.

What causes it

  • The requested model does not have enough capacity at the moment. That is OpenAI's documented cause for 503 server_is_overloaded, and it hits the newest and most popular models at peak hours first.
  • An active OpenAI incident: when overload lasts more than a few minutes, status.openai.com usually shows it.
  • Older SDKs and tools word the same condition as “The server is overloaded or not ready yet”. Video generation overload now also returns 503, where it used to return 429.
  • No fallback, so one busy model blocks the whole pipeline.

How to fix it

  1. Follow the Retry-After header when it is present: wait at least that long, then retry. Without it, retry with exponential backoff and a little random delay.
  2. In the Python SDK, a 503 raises InternalServerError while a 429 raises RateLimitError. Catch both and check error.code so overload is retried instead of crashing the run.
  3. If it persists, check whether the OpenAI API is down before changing your code.
  4. Add a fallback model or provider so requests reroute during spikes.
  5. Ramp heavy traffic up gradually: a sudden jump gets a 429 slow_down even within your rate limits.

Sources: OpenAI API docs: error codes (503 server_is_overloaded); OpenAI status page

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On Standard Compute each step goes to the cheapest model that can do it, and for every model we vet providers for price, uptime and speed, with automatic fallback: when a provider is overloaded, the request is retried and can move to another provider for the same model, so fewer 503s reach your agent. Opt-in Europe or US Compliance rules apply per key, team or company, and we don't train on your prompts or store them.

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FAQ

How is 503 different from 429?

429 means you exceeded a limit, such as your requests or tokens per minute, or your traffic ramped up too fast (slow_down). 503 server_is_overloaded means the model itself has no spare capacity. 429 is about your usage, 503 is about OpenAI's capacity.

Is OpenAI down when it says the servers are overloaded?

Usually not. Overload is short and often hits one model while others answer normally. If retries keep failing for several minutes, check status.openai.com for an incident and switch to another model until it clears.

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