Models · GPT
GPT-5.6 Terra
Asked for a few hundred random integers, GPT-5.6 Terra does not pick evenly. This page is the shape of that preference, built from 36 recorded answers containing 11289 numbers, and it is what the identify tool compares a pasted reply against.
- Bank id
gpt-5.6-terra- Family
- GPT
- Collected through
- API
- Status
- Inherited from ModelTrace; serving identity not independently verified
- Distinct values used
- 355 of 355
- Prompt environments
- 12 of 12
Distribution
Every bar is one value from 1 to 355; its height is how many times the model chose it across all recorded answers. A perfectly random picker would give a flat line. Nothing in the bank does.
Favourite numbers
| Number | Times chosen | Share |
|---|---|---|
| 201 | 53 | 0.47% |
| 315 | 53 | 0.47% |
| 347 | 50 | 0.44% |
| 278 | 48 | 0.43% |
| 109 | 47 | 0.42% |
| 341 | 47 | 0.42% |
| 304 | 46 | 0.41% |
| 344 | 46 | 0.41% |
| 352 | 46 | 0.41% |
| 16 | 45 | 0.40% |
| 326 | 45 | 0.40% |
| 116 | 44 | 0.39% |
How reliably it is recognised
In held-out testing across all twelve prompt environments, 11 of 12 three-answer runs named this model, 1 narrowed it to its family, 0 gave no answer, and 0 named a different model.
With this model removed from the bank and its own answers scored against the rest, 0 of 12 runs still confidently named another model, 5 stopped at the family, and 7 gave no answer. Its answers landed most often on GPT-5.6 Sol (7 of 12). That is the number to keep in mind if you are testing a version that is not listed here.
Both measurements use the open-set verdict the site applies, not the bank's raw ranking. The methodology page explains how they were made and what they leave out.