GPT-5.1 Behavioral Fingerprint

How OpenAI's GPT-5.1 answers one-word probe questions at temperature 1.0 — random numbers, colors, animals, coin flips — measured over 450 valid samples in the open dataset of "One Token Is Enough" (arXiv:2607.10252).

Vendor

OpenAI

Data generated

2026-07-08

Probe cells

15

Valid samples

450

Randomness score

28 / 100

Mean normalized entropy across cells, 0–100. 100 would be a uniform-random baseline; real models score far lower.

Signature answers

Favorite random number (1–100)

57

10 / 30 answers

Favorite color

cerulean

16 / 30 answers

Coin flip: heads

67%

Share of heads across coin-flip cells.

Answer distributions by probe cell

Empirical distributions of normalized one-word answers, per task and language. H is the Shannon entropy in bits; the uniform baseline is log2 of the answer-domain size.

Coin flip · English

n = 30 · H = 0.84 bit · uniform baseline 1.00 bit

AnswerCountShare
heads2273.3%
tails826.7%

Coin flip · Chinese

n = 30 · H = 0.97 bit · uniform baseline 1.00 bit

AnswerCountShare
heads1860.0%
tails1240.0%

Favorite number · English

n = 30 · H = 0.00 bit · uniform baseline 13.29 bit

AnswerCountShare
730100.0%

Favorite number · Chinese

n = 30 · H = 0.00 bit · uniform baseline 13.29 bit

AnswerCountShare
730100.0%

Random animal · English

n = 30 · H = 2.13 bit · uniform baseline 5.64 bit

AnswerCountShare
okapi1550.0%
giraffe413.3%
capybara413.3%
octopus310.0%
ocelot26.7%
otter26.7%

Random animal · Chinese

n = 30 · H = 2.57 bit · uniform baseline 5.64 bit

AnswerCountShare
1033.3%
老虎620.0%
大象620.0%
26.7%
长颈鹿26.7%
海豚26.7%
豹子13.3%
13.3%

Random city · English

n = 30 · H = 0.42 bit · uniform baseline 5.64 bit

AnswerCountShare
lisbon2893.3%
kyoto13.3%
osaka13.3%

Random city · Chinese

n = 30 · H = 2.48 bit · uniform baseline 5.64 bit

AnswerCountShare
巴黎1653.3%
广州310.0%
南京26.7%
东京26.7%
里斯本13.3%
巴塞罗那13.3%
杭州13.3%
上海13.3%

+ 3 more answers

Random color · English

n = 30 · H = 1.44 bit · uniform baseline 4.91 bit

AnswerCountShare
cerulean1653.3%
turquoise930.0%
teal516.7%

Random color · Chinese

n = 30 · H = 0.21 bit · uniform baseline 4.91 bit

AnswerCountShare
2996.7%
绿13.3%

Random letter · English

n = 30 · H = 1.25 bit · uniform baseline 4.70 bit

AnswerCountShare
q2170.0%
g620.0%
k26.7%
j13.3%

Random number 1-10 · English

n = 30 · H = 0.00 bit · uniform baseline 3.32 bit

AnswerCountShare
730100.0%

Random number 1-10 · Chinese

n = 30 · H = 0.00 bit · uniform baseline 3.32 bit

AnswerCountShare
730100.0%

Random number 1-100 · English

n = 30 · H = 1.93 bit · uniform baseline 6.64 bit

AnswerCountShare
571033.3%
47930.0%
73723.3%
37413.3%

Random number 1-100 · Chinese

n = 30 · H = 1.46 bit · uniform baseline 6.64 bit

AnswerCountShare
371653.3%
47723.3%
57723.3%

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Data source & license

Distributions: Tomáš Bruckner, "One Token Is Enough" (arXiv:2607.10252), official dataset Zenodo DOI 10.5281/zenodo.21278557, licensed CC-BY-4.0. Collected via OpenRouter at temperature 1.0 under the paper's fixed minimal one-word system prompt; answer keys are re-normalized with the checker's pipeline (color aliases, number words, coin h/t) so live probes are directly comparable.

Paper on arXivDataset on ZenodoCC-BY-4.0 license

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