As of September 06, 2026, the openai AI API responds in 131 ms p50 (edge, time-to-first-byte) from US (Central) — its fastest measured region — with 100% uptime. Slowest is South America (São Paulo) at 238 ms p50.
Is openai down right now?
Reachable from all 4 regions
Last successful probe Sep 6, 18:16 UTC · every 5 minutes from 4 region(s) · status feed checked Sep 6, 18:17 UTC
1 isolated failure(s) in the last 72 hours, the most recent (host probes) visible from only one region (Asia (Tokyo)). A single-region failure cannot be separated from a problem on that network path, so it is not called an outage. Measured from outside openai’s own network, independently of its status page; full log: measured AI API incidents.
Real requests: not measured for OpenAI — only the API host is probed here, so errors limited to specific models are invisible to these probes. That is exactly what a status page tends to report, hence the line below.
OpenAI’s status page lists no open incident (checked Sep 6, 18:17 UTC); its 1 entries from the last 72 hours are listed below.
Edge latency, 24 h
131 ms
p50 from US (Central), the fastest region
Uptime, 24 h
99.9%
1,153 probes across 4 region(s)
Failed probes, 72 h
1
of 3,457 · Asia (Tokyo)
Reported by OpenAI, 72 h
1
on status.openai.com
Was openai down in the last 3 days?
No. 1 isolated single-region probe failure(s) were recorded, none of which meets the bar for an outage (two or more regions at once). OpenAI’s own status page reported 1 incident(s) in the same window, listed below.
Asia (Tokyo) only — not an outage · under one 5-minute probe cycle · 1 failed probe(s) · http 520
What OpenAI’s own status page reported
minor Users in APAC region may face increased error in ChatGPT, Work, image generation, file upl · resolved Sep 4, 10:46 UTC
Self-reported by OpenAI, checked Sep 6, 18:17 UTC; not verified by our probes. Errors on individual models are visible only from inside the provider.
Is openai getting faster or slower?
Right now openai is slower than usual from Europe (Germany): 297 ms against a three-day typical of 235 ms.
hourly p50 latencyall probes succeededsome probes failedhalf or more failedno data
One panel per region: the line is the hourly p50 edge latency (shared scale, ms), the strip beneath it is the outcome of that hour’s host probes. Hover any hour for the numbers. Flat is good; a rising line means the endpoint is slowing down from that origin, a gap means no probe succeeded in that hour.
How fast is the openai API from each region?
Region
p50 TTFB
p95
Uptime
Asia (Tokyo)
206 ms
288 ms
99.7%
Europe (Germany)
204 ms
401 ms
100%
South America (São Paulo)
238 ms
519 ms
100%
US (Central)
131 ms
220 ms
100%
Measured from US (Central), openai responds in 131 ms; from South America (São Paulo) the same API takes 238 ms — 1.8× longer for an identical request. That difference is the network path, not the model, and it applies to every call you make.
What is actually being measured here?
A probe in each region opens a real connection to openai’s own API host every five
minutes and times DNS resolution, the TCP handshake, the TLS handshake and the first byte of the
response. Nothing is routed through a gateway or aggregator, so these figures describe
openai’s infrastructure rather than a reseller’s. Uptime counts a probe as failed only when the
service genuinely fails — a 401 from an unauthenticated probe means the endpoint answered
correctly and is counted as up.
What this page does not tell you
These are edge latency numbers: the time before the model begins generating. They
say nothing about answer quality, throughput, price, or how long a full completion takes — those
depend on the model you call. Edge latency matters because it is unavoidable: it is paid on every
request, before a single token exists, and no prompt engineering removes it. Where an API key is
available, inference time-to-first-token is measured separately and shown on the region pages with the
model named next to the figure. Likewise, an unauthenticated probe cannot see errors that hit only some
models or some accounts — the kind a status page usually reports — which is why OpenAI’s
own reports are shown next to the measurements rather than folded into them.