What is the glm API's uptime?

Measured uptime for the glm API averages 100% across 4 region(s) over the last 24 hours.

Is the glm API down? Live status, latency & uptime by region

Last verified October 22, 2026 · rebuilt about every 30 minutes

Is the glm API down right now?

Reachable from all 4 regions

Last successful probe Oct 22, 06:46 UTC · every 5 minutes from 4 region(s)

Every probe from every region reached the glm API successfully in the last 72 hours. Measured from outside glm’s own network, independently of its status page; full log: measured AI API incidents.

Real requests: not measured for glm — 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.

glm publishes no machine-readable status page, so there is nothing to cross-check against.

As of October 22, 2026, the glm AI API responds in 91 ms p50 (edge, time-to-first-byte) from Asia (Tokyo) — its fastest measured region — with 100% uptime. Slowest is South America (São Paulo) at 537 ms p50.

Endpoint response (TTFB), 24 h

91 ms

Typical (p50) from Asia (Tokyo), the fastest region

Uptime, 24 h

100%

1,152 probes across 4 region(s)

Failed probes, 72 h

of 3,459 probes, all regions

Reported by glm, 72 h

—

no machine-readable status page

Was glm down in the last 3 days?

No. All 3,459 probes from 4 region(s) reached the glm API in the last 72 hours.

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What glm’s own status page reported

glm publishes no machine-readable status page, so there is nothing to set against the measurements above.

Is glm getting faster or slower?

Endpoint response (TTFB) · milliseconds · lower is faster

Last 72 hours · UTC · newest time on the right · current hour is incomplete.

Each line shows a region’s typical response per hour (p50), using the same scale. A gap means no successful timed probe in that hour.

typical response per hour (p50)all probes succeededsome failed (under half)half or more failedno probes recorded

Probe counts by region

Europe (Germany): 0 failed / 864 endpoint probesUS (Central): 0 failed / 862 endpoint probesAsia (Tokyo): 0 failed / 862 endpoint probesSouth America (São Paulo): 0 failed / 862 endpoint probes

Chart details

The strip shows endpoint probe outcomes, not model-request success. Adjacent hours with all successes or no data are joined. Hover an hour for its recorded values.

Latest is the most recent hourly p50 with data. Median is the median of hourly p50 values over these 72 hours. The “slower than usual” label means latest is at least 25% above that median; it is a relative change, not a fixed speed rating.

How fast is the glm API from each region?

Endpoint response (TTFB) · last 24 hours · milliseconds (ms) · lower is faster.

How to read these metrics

Endpoint response (TTFB)Network connection and the first response byte, without model inference.

Typical · p5050% of successful timed samples finish within this time.

Slower · p9595% of successful timed samples finish within this time.

Region	Typical (p50 TTFB)	Slower (p95)	Uptime
Asia (Tokyo)	91 ms	153 ms	100%
Europe (Germany)	200 ms	304 ms	100%
South America (São Paulo)	537 ms	567 ms	100%
US (Central)	253 ms	295 ms	100%

Measured from Asia (Tokyo), glm responds in 91 ms; from South America (São Paulo) the same API takes 537 ms — 5.9× 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 glm’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 glm’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 glm’s own reports are shown next to the measurements rather than folded into them.