Qwen3.6 27B Behavioral Fingerprint

How Qwen's Qwen3.6 27B 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

Qwen

Data generated

2026-07-08

Probe cells

15

Valid samples

450

Randomness score

20 / 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)

42

29 / 30 answers

Favorite color

blue

28 / 30 answers

Coin flip: heads

87%

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 = 0.65 bit · uniform baseline 1.00 bit

AnswerCountShare
heads2583.3%
tails516.7%

Coin flip · Chinese

n = 30 · H = 0.47 bit · uniform baseline 1.00 bit

AnswerCountShare
heads2790.0%
tails310.0%

Favorite number · English

n = 30 · H = 1.14 bit · uniform baseline 13.29 bit

AnswerCountShare
71860.0%
421136.7%
413.3%

Favorite number · Chinese

n = 30 · H = 0.98 bit · uniform baseline 13.29 bit

AnswerCountShare
72273.3%
42723.3%
313.3%

Random animal · English

n = 30 · H = 0.63 bit · uniform baseline 5.64 bit

AnswerCountShare
cat2790.0%
fox13.3%
frog13.3%
elephant13.3%

Random animal · Chinese

n = 30 · H = 1.01 bit · uniform baseline 5.64 bit

AnswerCountShare
2480.0%
兔子310.0%
熊猫26.7%
13.3%

Random city · English

n = 30 · H = 1.32 bit · uniform baseline 5.64 bit

AnswerCountShare
tokyo1756.7%
paris1136.7%
kyoto13.3%
barcelona13.3%

Random city · Chinese

n = 30 · H = 2.26 bit · uniform baseline 5.64 bit

AnswerCountShare
巴黎1446.7%
东京826.7%
paris26.7%
上海13.3%
成都13.3%
柏林13.3%
伦敦13.3%
西安13.3%

+ 1 more answers

Random color · English

n = 30 · H = 0.42 bit · uniform baseline 4.91 bit

AnswerCountShare
blue2893.3%
teal13.3%
azure13.3%

Random color · Chinese

n = 30 · H = 0.57 bit · uniform baseline 4.91 bit

AnswerCountShare
2686.7%
413.3%

Random letter · English

n = 30 · H = 1.87 bit · uniform baseline 4.70 bit

AnswerCountShare
q1860.0%
m413.3%
f413.3%
t13.3%
g13.3%
d13.3%
k13.3%

Random number 1-10 · English

n = 30 · H = 0.21 bit · uniform baseline 3.32 bit

AnswerCountShare
72996.7%
513.3%

Random number 1-10 · Chinese

n = 30 · H = 0.21 bit · uniform baseline 3.32 bit

AnswerCountShare
72996.7%
313.3%

Random number 1-100 · English

n = 30 · H = 0.21 bit · uniform baseline 6.64 bit

AnswerCountShare
422996.7%
7313.3%

Random number 1-100 · Chinese

n = 30 · H = 0.70 bit · uniform baseline 6.64 bit

AnswerCountShare
422686.7%
5726.7%
7326.7%

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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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Qwen3.6 27B Behavioral Fingerprint — Favorite Random Numbers & Distribution | Tosea.ai