Mistral AI
European AI lab founded by ex-DeepMind and ex-Meta researchers. Builds open-weight and commercial models with a focus on efficient inference and on-prem deployability. Distributed primarily through La Plateforme (its API) and Le Chat (its consumer assistant).
Products
Le Chat · La Plateforme · Mistral / Mixtral / Codestral / Magistral models · Le Console
Reliability — last 12h
Composite score
Uptime
Incidents
Median MTTR
What's breaking (last 12h)
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 |
|---|---|---|---|---|
Chat Completions API | 1 | 17m | 17m | 6h ago |
Conversations API | 1 | 9m | 9m | 6h ago |
Type of failure
Categorised from the public incident headlines (outage / latency / auth / etc.). Click a category to drill in.
When it breaks
Incident starts by weekday × hour, UTC. Hover a cell for incident detail.
Hour of day · UTC
Score breakdown
SLA compliance
How often does this provider clear their stated availability target?
Incident history
showing 27 of 200 · 4 of 29 days
How fast they fix things
Distribution of incident resolution times.
Typical fix
9m
half of incidents resolve faster
On a bad day
17m
9 in 10 resolve faster than this
Distribution
Mistral AI — incidents by day (last 30d)
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.