On Thursday morning, Anthropic’s Claude models saw elevated error rates starting at 9:23 a.m. ET, OpenAI’s ChatGPT and Codex degraded from 10:43 a.m. ET, xAI’s Grok showed a spike in user reports from under ten to 1,365 by 9:45 a.m. ET, and Google’s Gemini API was flagged as likely down between 10:45 a.m. and 11:15 a.m. ET.
Short answer: On Thursday morning, Anthropic’s Claude models saw elevated error rates starting at 9:23 a.m. ET, OpenAI’s ChatGPT and Codex degraded from 10:43 a.m. ET, xAI’s Grok showed a spike in user reports from under ten to 1,365 by 9:45 a.m. ET, and Google’s Gemini API was flagged as likely down between 10:45 a.m. and 11:15 a.m. ET.
Thursday morning kicked off with a surprising hiccup across several big-name AI services, all acting up at nearly the same moment. Anthropic was the first to acknowledge trouble, saying its Claude models were seeing elevated error rates beginning at 9:23 a.m. Eastern. The company traced the problem within about fifteen minutes, deployed a fix, and marked the incident resolved by 12:16 p.m. A separate note later indicated a brief spike in errors for the Claude Sonnet 5 model just after noon.
OpenAI followed with its own alert, noting that ChatGPT and its Codex counterpart were suffering from degraded performance starting at 10:43 a.m. Eastern. Engineers put a mitigation in place roughly half an hour later, and the service was reported as restored by 12:55 p.m.
Meanwhile, xAI’s Grok showed a user-facing warning that the model was experiencing issues. DownDetector data reflected a sharp rise in reports, climbing from fewer than ten before 9 a.m. to 1,365 by 9:45 a.m. By early afternoon the number had fallen to 273, indicating the problem was easing but not yet fully cleared.
Google did not issue a public statement about its Gemini model, yet independent monitors painted a similar picture. DownDetector logged a jump from 23 reports around 10:30 a.m. to 412 just after 11 a.m. StatusGator, an API-watching service, flagged a likely outage for the Gemini API between 10:45 a.m. and 11:15 a.m., after which the status returned to normal.
Other major cloud providers appeared unaffected. Amazon Web Services, Microsoft Azure, and Cloudflare did not report any widespread problems, although their own DownDetector traces showed modest bumps in user reports during the same morning window.
The coincidence of four frontier AI services stumbling within a few hours is unusual. Anthropic’s own metrics show its Claude family maintained 99.4 % uptime over the past ninety days, with the last comparable three-hour partial outage occurring on August 24. OpenAI reports ChatGPT averaged 99.63 % availability in the same period, while its Codex variant logged a perfect 100 % score. The only recent hiccup for OpenAI’s Work Mode was an extended latency episode on August 31.
For developers and businesses that rely on these APIs, the episode underscores the importance of building redundancy into AI-dependent workflows. Even when individual providers boast high reliability scores, simultaneous failures can disrupt applications that assume at least one service will remain online. Teams may want to review fallback strategies, such as caching responses, switching to alternative models, or queuing requests during outage windows. Monitoring tools that aggregate status across providers can also give earlier warning when multiple services start to show error spikes.
While the root causes behind each incident have not been disclosed in detail, the timing suggests a possible shared stress factor, perhaps related to underlying infrastructure or a sudden surge in demand. Until more information emerges, the safest approach for anyone building with AI is to treat these platforms as potentially fall
Anthropic first acknowledged trouble with its Claude models at 9:23 a.m. Eastern, when it observed elevated error rates beginning then.
OpenAI reported degraded performance starting at 10:43 a.m. Eastern, implemented a mitigation about half an hour later, and said the service was restored by 12:55 p.m.
DownDetector recorded Grok reports rising from fewer than ten before 9 a.m. to 1,365 by 9:45 a.m., then falling to 273 by early afternoon; for Gemini, reports jumped from 23 around 10:30 a.m. to 412 just after 11 a.m.
Amazon Web Services, Microsoft Azure, and Cloudflare did not report any widespread problems, although their DownDetector traces showed modest bumps in user reports during the same morning window.
Source: Ars Technica
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