Everyone publishes AI model leaderboards. Almost nobody publishes the day-level curve — and the
curve is where the actual story is.
At whatstrending.ai we snapshot every model's daily request count
from OpenRouter's usage feed into a database, once a day, INSERT OR IGNORE
— a row can never be
revised after the fact. We're 78 days in. Here is what openai/gpt-5.6-luna
did over the last two
weeks:
| Date | Requests/day |
|---|---|
| Aug 04 | 162.9M |
| Aug 05 | 180.8M |
| Aug 06 | 193.8M |
| Aug 07 | 210.8M |
| Aug 08 | |
| 222.5M ← peak | |
| Aug 09 | 209.6M |
| Aug 10 | 171.6M |
| Aug 11 | |
| 137.3M ← floor: −38.3% off peak in 3 days | |
| Aug 12 | 143.2M |
| Aug 13 | 157.3M |
| Aug 14 | |
| 231.8M ← new all-time high, +47.4% in one day | |
| Aug 15 | 237.3M |
| Aug 16 | |
| 243.5M ← third consecutive all-time high |
A flagship model shed more than a third of its daily traffic in three days, then won all of it
back — and more — inside the same week. Three consecutive days above the old peak as of Aug 16.
Three checks, run before writing this:
deepseek/deepseek-v4-flash-0731
and tencent/hy3
were setting their own highs on the same days — so this is not a provider-wide trailing-edge reporting droop.Monthly aggregates — which is what every public ranking shows — would have flattened this entire
event into "usage grew". The day-level series shows real flagship usage is far more volatile than
anything the leaderboards suggest: a −38% drawdown and a full recovery to new highs fit inside eight
days. If you're making routing, capacity, or "which model is winning" decisions off monthly numbers,
you're averaging away the actual signal.
The live, daily-updated version of this curve is here:
https://whatstrending.ai/models Method: daily snapshot of OpenRouter per-day request counts, 100 models/day, 78 days and counting, stored append-only ( INSERT OR IGNORE) in Cloudflare D1.