DeepSeek
Chinese AI lab spun out of quant fund High-Flyer. Builds open-weight DeepSeek-V and DeepSeek-R reasoning models known for strong benchmarks at low inference cost. Distributes through deepseek.com (chat + API) and Hugging Face.
Products
DeepSeek Chat · DeepSeek API · DeepSeek-V / DeepSeek-R / DeepSeek-Coder models
Reliability — last 60d
Composite score
Uptime
Incidents
Median MTTR
What's breaking (last 60d)
Components ranked by incident count. Click a row for the incident list. Down-time is attributed proportionally for multi-component incidents.
| Component | Incidents | Down (attr.) | Median MTTR | Last |
|---|---|---|---|---|
网页对话服务 (Web Chat Service) | 8 | 18h 58m | 1h 10m | 12d ago |
API 服务 (API Service) | 1 | 1h 3m | 1h 3m | 10d ago |
Type of failure
Categorised from the public incident headlines (outage / latency / auth / etc.). Click a category to drill in.
Score breakdown
SLA compliance
How often does this provider clear their stated availability target?
Incident history
showing 4 of 50 · 4 of 41 days
When it breaks
Incident starts by weekday × hour, UTC. Hover a cell for incident detail.
Hour of day · UTC
Most likely outage time
Hottest hour
Worst day
Worst time of day
How fast they fix things
Distribution of incident resolution times.
Typical fix
1h 3m
half of incidents resolve faster
On a bad day
10h 13m
9 in 10 resolve faster than this
Distribution
DeepSeek — incidents by day (last 60d)
Worst incidents
Ranked by severity-weighted duration (impact × wall-clock). Click any incident for the full update timeline.
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.
* No public SLA — using common enterprise target (99.9%) for comparison.