OpenAI API outage — what to do when the API is down

When your API calls start returning 500s or timeouts, you need to know immediately whether OpenAI's infrastructure is struggling or your code just hit a wall. Check the [live OpenAI status](/status) on this site first —

OpenAI API outage — what to do when the API is down

When your API calls start returning 500s or timeouts, you need to know immediately whether OpenAI's infrastructure is struggling or your code just hit a wall. Check the live OpenAI status on this site first — it updates every 60 seconds from OpenAI's official feed and shows which specific components are affected.

How to check if OpenAI is actually down

Start with this site's live OpenAI status monitor. It pulls directly from status.openai.com and breaks down availability by service: API, ChatGPT, Sora and Labs. When the API section shows "Operational" in green, the problem's probably on your end. "Degraded Performance", "Partial Outage" or "Major Outage" in yellow or red means you're not alone.

Then check status.openai.com itself. OpenAI's status page shows historical uptime and active incidents. Click into "API" to see which endpoints are affected — sometimes GPT-4 responses slow down while GPT-3.5 runs fine, or embeddings work but completions timeout. The incident history tells you if this is a five-minute blip or a multi-hour crisis.

Look at error patterns in your logs. A genuine outage produces consistent 500 Internal Server Errors, 502 Bad Gateway or 503 Service Unavailable responses across different endpoints. If you're seeing 429 Rate Limit Exceeded errors, that's your quota problem, not an outage. Check OpenAI API error 429 and other API errors for rate limit solutions.

Is it OpenAI or is it you

Test from a different environment. If you're running API calls from a server, try the exact same request from your local machine using curl or Python. If it works locally but fails on your server, you've got a networking or configuration issue. Here's a basic test:

```

curl https://api.openai.com/v1/chat/completions \

-H "Authorization: Bearer YOUR_API_KEY" \

-H "Content-Type: application/json" \

-d '{"model":"gpt-3.5-turbo","messages":[{"role":"user","content":"test"}]}'

```

Check your API key validity at platform.openai.com/api-keys. Regenerate it if you're getting 401 Unauthorized responses. Verify your organization ID if you're part of multiple orgs — wrong org headers cause mysterious failures.

Examine your rate limits at platform.openai.com/settings/organization/limits. You get different TPM (tokens per minute) and RPM (requests per minute) limits depending on your usage tier. If you just upgraded from free to paid, your limits increased but might still cap sudden traffic spikes.

Test different models. If gpt-4-turbo times out but gpt-3.5-turbo responds instantly, that's a capacity issue on OpenAI's side, not a total outage. Switch to the working model temporarily while the issue resolves.

What to do during an outage

Implement exponential backoff immediately if you haven't already. When you get a 500 or 503 error, wait 1 second, then 2, then 4, then 8 before retrying. The OpenAI Python library does this automatically with `max_retries` parameter. Don't retry instantly — that makes outages worse for everyone.

Queue your requests instead of dropping them. Store failed API calls in Redis, a database or a message queue like SQS. Process the queue once the live OpenAI status shows services returning to operational. This prevents data loss during brief outages.

Set reasonable timeouts. Configure your HTTP client to timeout after 60 seconds for completions, 120 seconds for longer GPT-4 requests. Don't let connections hang indefinitely — that burns through your connection pool and blocks other requests.

Monitor your retry budget. If you've retried a request 5 times over 30 seconds with no success, fail gracefully and alert your team. Infinite retries drain API credits and mask the real problem. Log the failure with enough context to replay it later.

Do NOT delete your API keys or create new projects thinking that'll fix things. Do NOT email support repeatedly during a confirmed outage — they're already working on it. Do NOT switch to unofficial API wrappers or third-party proxies that promise "guaranteed uptime" — they're using the same infrastructure.

Questions people actually ask

Q: Is the OpenAI API down right now?

A: Check the live OpenAI status on this site or visit status.openai.com directly. Both sources update in real-time and show which specific API endpoints are affected.

Q: How long do OpenAI API outages usually last?

A: Most incidents resolve in 15-45 minutes. Major outages affecting multiple regions can take 2-3 hours. Check the incident history on status.openai.com — OpenAI posts updates every 30-60 minutes during active outages.

Q: Will I get refunded for downtime?

A: OpenAI doesn't automatically refund for brief outages. If you lost significant processing time during an extended incident, contact billing support through platform.openai.com/account with specific details.

Q: Should I switch to a different AI provider?

A: If uptime is absolutely critical, implement fallback logic that switches to Anthropic's Claude or Google's Gemini when OpenAI returns errors. But no provider has perfect uptime — build resilience into your code instead.

What to remember

Check this site's live status monitor and status.openai.com before debugging your code
Implement exponential backoff and request queueing — they're not optional for production apps
Test API calls from different environments to isolate networking issues from actual outages
Monitor error patterns: consistent 500s mean outage, 429s mean you hit rate limits
Never spam retries during an outage — you make it worse for everyone including yourself

Related help

---

*openai-support.com is an independent resource, not affiliated with OpenAI Inc.*