Cutoff Data
Model speed & uptime index
How fast each major model answers, and how often it fails, measured hourly from an independent client over the last 7 days.
Last reading 11/9/2026, 12:17:16 AM UTC
| Model | Provider | Median | 95th pct | Uptime | Probes | Now |
|---|---|---|---|---|---|---|
| GPT-5.4 Miniopenai/gpt-5.4-mini | OpenAI | 744ms | 1.21s | 100% | 143 | OK |
| GPT-5.6 Lunaopenai/gpt-5.6-luna | OpenAI | 780ms | 1.23s | 100% | 143 | OK |
| GPT-5.6 Terraopenai/gpt-5.6-terra | OpenAI | 825ms | 1.25s | 100% | 143 | OK |
| Gemini 3.1 Flash Litegoogle/gemini-3.1-flash-lite | 826ms | 1.28s | 100% | 143 | OK | |
| GPT-5.6 Solopenai/gpt-5.6-sol | OpenAI | 922ms | 1.42s | 98.6% | 143 | OK |
| Gemini 3.8 Flashgoogle/gemini-3.8-flash | 2.93s | 5.17s | 100% | 142 | OK | |
| Gemini 3.1 Pro (preview)google/gemini-3.1-pro-preview | 3.85s | 5.78s | 100% | 143 | OK |
How this is measured
Once an hour we send every tracked model the same short, deterministic prompt and record wall-clock time from request to completed response, plus whether the call succeeded.
Median and 95th-percentile figures are computed across all successful probes in the trailing 7-day window. Uptime is successful probes divided by total probes.
These are single-client measurements over one network route, at short prompt lengths. They are a fair basis for comparing models against each other under identical conditions, not a substitute for a provider’s own status page.