What was measured
The i6eal AI Latency Index measures time to first content token (TTFT) from a Lambda function in Frankfurt. It compares the medians of daily measurements across two completed UTC weeks, from 21 to 27 September 2026 versus 28 September to 4 October 2026. For the GPT-5 mini endpoint via the direct route, values exist for seven weekdays in both weeks. The median rises from 788 to 894 milliseconds, which is 13.45 percent more.
Interpretation for you
You should read this figure as an observation within an unchanged endpoint, not as a ranking or a general verdict on a provider. The measurement describes a short synthetic request, not a complete workload. Whether the change matters for your own requests cannot be derived from this probe. Cause, statistical significance, model quality and reliability are explicitly not established by the data. Direct and gateway routes are not evaluated against each other.
Observed latency changes
| Endpoint | Route | Paired days per week | Before TTFT (ms) | Current TTFT (ms) | Change |
|---|---|---|---|---|---|
| GPT-5 mini (OpenAI) | direct | 7 | 788.00 | 894.00 | +13.45 % |
2026-09-21–2026-09-27 → 2026-09-28–2026-10-04 (UTC).
Coverage and measurement limits
7 endpoints have sufficient paired days and unchanged model/route descriptions. 0 endpoints have insufficient paired days; 0 were excluded because model/route descriptions changed.
TTFT measures time to the first content token from a Lambda in Frankfurt. This compares medians of daily measurements in two completed UTC weeks. Only weekdays with a value in both weeks count; each endpoint needs at least five paired days. The collector discards a warm-up and keeps the faster of two successful probes per measurement round. This is a short synthetic probe, not a measurement of your entire workload. Direct and gateway routes are not ranked against each other. Observed differences establish no cause, statistical significance, model quality or reliability.
i6eal KI-Latenz-Index. Source timestamp: 2026-10-10T01:20:58.983Z.
Sources
Editorially owned by Ideal Syka. Sources and method: Newsroom & method. Tips and corrections: ai@i6eal.de.
