AI research and deployment company behind ChatGPT and the GPT family of models. Originally a non-profit; restructured into a capped-profit company in 2019. Mission framed as building AGI that benefits all of humanity.
Method: a rolling quarter (13 weeks ≈ 91 days). Each cell is one 7-day slice of Statuspage-standard uptime (1 − (critical + 0.3 × major) / window; minors and maintenance excluded; red when the slice dips below the stated SLA).
OpenAI — Incidents by Day last 7d
MinorMajorCritical
Total 9 incidents
0
1
2
2
3
05-2805-2905-3005-3106-0106-0206-0306-04
Worst Incidents
Ranked by severity-weighted duration (impact × wall-clock). Click any incident for the full update timeline.
Type of Failure
Categorised from the public incident headlines (outage / latency / auth / etc.).
Degraded
5
42%
Elevated errors
3
25%
Other
3
25%
Latency
1
8%
When It Breaks
Incident starts by weekday × hour, UTC. Hover a cell for incident detail.
S
0
M
Monday16:00–17:00 UTC
1incident
1 major
Decreased ChatGPT availability for Free usersJun 1
1
T
Tuesday12:00–13:00 UTC
1incident
1 minor
Guest users are experiencing elevated error rate when using ChatGPT conversations.Jun 2
Tuesday23:00–00:00 UTC
2incidents
2 minor
codex-gpt-image-2-does-not-exist-errorsJun 2
Elevated errors for ChatGPT ProJun 2
3
W
Wednesday04:00–05:00 UTC
1incident
1 major
Elevated error rates on Codex, ChatGPT and Responses APIJun 3
Wednesday16:00–17:00 UTC
1incident
1 minor
Android ChatGPT Business users having trouble switching workspacesMay 27
Wednesday17:00–18:00 UTC
1incident
1 minor
Codex Context Compaction LatencyMay 27
3
T
Thursday09:00–10:00 UTC
1incident
1 minor
Subscription checkout failingMay 28
1
F
Friday03:00–04:00 UTC
2incidents
2 minor
Users may encounter issues with conversationsMay 29
Users may encounter issues logging in or creating an accountMay 29
Friday13:00–14:00 UTC
1incident
1 minor
Users May Experience Issues Accessing ChatGPTMay 29
3
S
0
00
06
12
18
HOUR OF DAY · UTC11 incident starts · hover any cell for detail
Hottest hour
Tuesday 23:00 2
Worst day
Tuesday 3
Worst time of day
03:00–04:00 2
How fast they fix things
Distribution of resolution times alongside the 12-week trend so you can see whether they're getting faster or slower.
Typical fix
1h 40m
half of incidents resolve faster
On a bad day
11h 35m
9 in 10 resolve faster than this
Distribution
<15m
1
15m–1h
2
1–4h
4
4–24h
4
24h+
0
+0 ongoing (not counted above)
MTTR Trend (12 weeks)
Are they recovering faster or slower over time? Lower is better.