GPT-5.5 Behavioral Fingerprint

How OpenAI's GPT-5.5 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

27 / 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)

47

19 / 30 answers

Favorite color

purple

15 / 30 answers

Coin flip: heads

42%

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 = 0.35 bit · uniform baseline 1.00 bit

AnswerCountShare
tails2893.3%
heads26.7%

Coin flip · Chinese

n = 30 · H = 0.78 bit · uniform baseline 1.00 bit

AnswerCountShare
heads2376.7%
tails723.3%

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 = 2.62 bit · uniform baseline 5.64 bit

AnswerCountShare
giraffe1240.0%
pangolin516.7%
capybara413.3%
platypus26.7%
tapir26.7%
otter26.7%
koala13.3%
ocelot13.3%

+ 1 more answers

Random animal · Chinese

n = 30 · H = 2.62 bit · uniform baseline 5.64 bit

AnswerCountShare
海豚1240.0%
考拉620.0%
袋鼠413.3%
水豚26.7%
斑马13.3%
鹦鹉13.3%
长颈鹿13.3%
水獭13.3%

+ 2 more answers

Random city · English

n = 30 · H = 2.51 bit · uniform baseline 5.64 bit

AnswerCountShare
valencia930.0%
lisbon826.7%
kyoto620.0%
tokyo26.7%
copenhagen26.7%
quito13.3%
reykjavik13.3%
barcelona13.3%

Random city · Chinese

n = 30 · H = 3.87 bit · uniform baseline 5.64 bit

AnswerCountShare
里斯本620.0%
布拉格310.0%
赫尔辛基310.0%
东京26.7%
哥本哈根26.7%
大阪26.7%
奥斯陆13.3%
上海13.3%

+ 10 more answers

Random color · English

n = 30 · H = 1.00 bit · uniform baseline 4.91 bit

AnswerCountShare
purple1550.0%
blue1550.0%

Random color · Chinese

n = 30 · H = 0.77 bit · uniform baseline 4.91 bit

AnswerCountShare
2583.3%
413.3%
绿13.3%

Random letter · English

n = 30 · H = 0.47 bit · uniform baseline 4.70 bit

AnswerCountShare
q2790.0%
k310.0%

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 = 1.47 bit · uniform baseline 6.64 bit

AnswerCountShare
471963.3%
42620.0%
57310.0%
3726.7%

Random number 1-100 · Chinese

n = 30 · H = 0.85 bit · uniform baseline 6.64 bit

AnswerCountShare
472480.0%
37516.7%
4213.3%

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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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