OpenAI API vs Claude API: Stability & Outage Comparison [For Developers]
The OpenAI API and Claude API are LLM APIs widely used as the backend for production apps. Because availability directly affects your business, it is important to understand both providers' outage patterns and design your fallback accordingly. Check the current status in the table above as we lay out the differences.
Status comparison (live)
| Service | Status | 24h uptime | 7d uptime |
|---|---|---|---|
| OpenAI API | Operational | 91.49% | 94.69% |
| Claude API | Operational | 100% | 100% |
Uptime is our own estimate (share of operational), not official vendor figures, based on data since monitoring began.
Error code patterns
For the OpenAI API, the typical errors are 429 (rate limit/quota), 500/502/503, and timeouts. For the Claude API, 429 (rate_limit_error) and 529 (overloaded_error) are characteristic, with 529 being more likely to appear when demand spikes.
For all of these, the basic remedy is retrying with exponential backoff. Details and fixes for each code are gathered on the error pages at /errors.
How to think about fallback design
A "multi-provider fallback" that automatically switches to the other API when one is overloaded or down is effective. OpenAI and Claude serve similar use cases, and an advantage is that you can swap between them by adjusting your prompts.
Implementing retries, timeouts, and a circuit breaker, then combining them with external monitoring like the table above, minimizes the impact of a one-sided outage. Uptime here is our own estimate, but it is useful for grasping relative trends.
Which is more stable?
Both maintain high availability, and which one leads shifts over time. What matters is "not relying entirely on one side." Check the current status and uptime (our own estimate) in the table above, and the solid approach is to make the more stable side your primary and the other your fallback.
FAQ
OpenAI API vs Claude API: which goes down less often?
It shifts over time. Check the latest trend using the 24-hour and 7-day uptime (our own estimate) in the table above. In production, the safe approach is to avoid relying on either one alone and to keep a fallback ready.
What's the difference between 529 and 429?
429 is a rate limit (you exceeded your call frequency/quota); 529 is a server-side overload (overloaded_error). For 429 you adjust your frequency; for 529 you retry after waiting a while.