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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.

Check a chat that claims to be GPT-5.6 Terra

Bank id
gpt-5.6-terra
Family
GPT
Collected through
API
Collected on
Not recorded upstream
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
42 · v4.3.2, scored as max
Index rank
8 of 12
Input, per 1M tokens
2.00
Output, per 1M tokens
12.00
Blended, per 1M tokens
4.50
Price rank
9 of 12
Context window
1,000,000 tokens

Read on 2026-10-02, not measured here: index page · price page

Distribution

GPT-5.6 Terra0.5%

Selected number 201

ModelTimes chosenShare
GPT-5.6 Terra530.47%
Each bar shows a number’s share of all recorded choices. Both models use the same percentage scale. Tap the chart or enter a number for exact counts. These are recorded preferences, not a measure of intelligence or proof of identity.

Favourite numbers

NumberTimes chosenShare
201530.47%
315530.47%
347500.44%
278480.43%
109470.42%
341470.42%
304460.41%
344460.41%
352460.41%
16450.40%
326450.40%
116440.39%

How reliably it is recognised

In held-out testing across all twelve prompt environments, 11 of 12 three-answer runs named this model with a clear margin, 0 were close calls inside its family, 1 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, 0 were close calls inside the family, and 12 had only a weak match. Its answers landed most often on GPT-5.6 Sol (5 of 12). That is the number to keep in mind if you are testing a version that is not listed here.

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.