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Models · GPT

GPT-6 Luna

Asked for a few hundred random integers, GPT-6 Luna does not pick evenly. This page is the shape of that preference, built from 36 recorded answers containing 11139 numbers, and it is what the identify tool compares a pasted reply against.

Check a chat that claims to be GPT-6 Luna

Bank id
gpt-6-luna
Family
GPT
Collected through
API
Collected on
2026-09-22
Status
Inherited from ModelTrace; serving identity not independently verified
Distinct values used
355 of 355
Prompt environments
12 of 12

Capability and price

Sold by
OpenAI
Intelligence index
37 · v4.3.2, scored as max
Index rank
9 of 11
Input, per 1M tokens
0.10
Output, per 1M tokens
0.50
Blended, per 1M tokens
0.20
Price rank
1 of 11
Context window
1,000,000 tokens

Read on 2026-09-23, not measured here: index page · price page

Distribution

1 355
How often GPT-6 Luna chose each number from 1 to 355

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

NumberTimes chosenShare
319600.54%
5570.51%
18530.48%
11520.47%
12520.47%
6490.44%
350490.44%
16480.43%
31480.43%
8470.42%
9470.42%
73470.42%

How reliably it is recognised

In held-out testing across all twelve prompt environments, 8 of 12 three-answer runs named this model with a clear margin, 1 were close calls inside its family, 3 had only a weak match, and 0 named a different model with a clear margin.

With this model removed from the bank and its own answers scored against the rest, 0 of 12 runs still named another model with a clear margin, 2 were close calls inside the family, and 10 had only a weak match. Its answers landed most often on GPT-5.6 Luna (9 of 12). That is the number to keep in mind if you are testing a version that is not listed here.

Taken as published from upstream ModelTrace 55a2e4a, with no replies or holdout of our own. Cross-validated on upstream's 36 replies (not a holdout), single-reply top-1 is 33/36 for GPT-6 Sol and 36/36 for GPT-6 Luna and Claude Opus 5.5; all three reach 12/12 at three replies. Added in v2026.09.5 by an Owner decision although admission rule 3 moved from 131 to 132 on 1,512 removed-model cases; the changelog lists every change.

Both measurements count the status the site attaches to the first-ranked model, not the bare ranking alone. The methodology page explains how they were made and what they leave out.