Models · GPT
GPT-6 Astra
Asked for a few hundred random integers, GPT-6 Astra does not pick evenly. This page is the shape of that preference, built from 36 recorded answers containing 10585 numbers, and it is what the identify tool compares a pasted reply against.
- Bank id
gpt-6-astra- 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 |
|---|---|---|
| 183 | 39 | 0.37% |
| 149 | 37 | 0.35% |
| 302 | 37 | 0.35% |
| 308 | 37 | 0.35% |
| 7 | 36 | 0.34% |
| 46 | 36 | 0.34% |
| 59 | 36 | 0.34% |
| 76 | 36 | 0.34% |
| 91 | 36 | 0.34% |
| 193 | 36 | 0.34% |
| 316 | 36 | 0.34% |
| 319 | 36 | 0.34% |
How reliably it is recognised
In held-out testing across all twelve prompt environments, 11 of 12 three-answer runs named this model, 0 narrowed it to its family, 1 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, 8 stopped at the family, and 4 gave no answer. Its answers landed most often on GPT-5.6 Sol (9 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.