Qwen3.5-Flash Behavioral Fingerprint

How Qwen's Qwen3.5-Flash answers one-word probe questions at temperature 1.0 — random numbers, colors, animals, coin flips — measured over 436 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

436

Randomness score

38 / 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

20 / 30 answers

Favorite color

blue

10 / 30 answers

Coin flip: heads

72%

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 = 1.00 bit · uniform baseline 1.00 bit

AnswerCountShare
heads1550.0%
tails1550.0%

Coin flip · Chinese

n = 30 · H = 0.35 bit · uniform baseline 1.00 bit

AnswerCountShare
heads2893.3%
tails26.7%

Favorite number · English

n = 30 · H = 1.77 bit · uniform baseline 13.29 bit

AnswerCountShare
71343.3%
421136.7%
4413.3%
913.3%
4713.3%

Favorite number · Chinese

n = 29 · H = 1.28 bit · uniform baseline 13.29 bit

AnswerCountShare
72172.4%
4310.3%
42310.3%
926.9%

Random animal · English

n = 30 · H = 2.09 bit · uniform baseline 5.64 bit

AnswerCountShare
elephant1860.0%
penguin310.0%
tiger310.0%
turtle13.3%
tyrannosaurus13.3%
sloth13.3%
chameleon13.3%
octopus13.3%

+ 1 more answers

Random animal · Chinese

n = 24 · H = 2.98 bit · uniform baseline 5.64 bit

AnswerCountShare
老虎729.2%
大象416.7%
企鹅312.5%
狮子28.3%
海豚28.3%
熊猫28.3%
河马14.2%
长颈鹿14.2%

+ 2 more answers

Random city · English

n = 30 · H = 2.52 bit · uniform baseline 5.64 bit

AnswerCountShare
tokyo1343.3%
paris620.0%
toronto26.7%
seville26.7%
oslo26.7%
denver26.7%
osaka13.3%
austin13.3%

+ 1 more answers

Random city · Chinese

n = 23 · H = 2.08 bit · uniform baseline 5.64 bit

AnswerCountShare
东京1356.5%
巴黎417.4%
tokyo14.3%
上海14.3%
北京14.3%
京都14.3%
柏林14.3%
伦敦14.3%

Random color · English

n = 30 · H = 2.77 bit · uniform baseline 4.91 bit

AnswerCountShare
blue1033.3%
crimson620.0%
indigo310.0%
teal310.0%
turquoise26.7%
magenta26.7%
cyan26.7%
mint13.3%

+ 1 more answers

Random color · Chinese

n = 30 · H = 2.01 bit · uniform baseline 4.91 bit

AnswerCountShare
1756.7%
620.0%
26.7%
13.3%
blue13.3%
翠绿13.3%
13.3%
13.3%

Random letter · English

n = 30 · H = 2.91 bit · uniform baseline 4.70 bit

AnswerCountShare
k930.0%
q620.0%
j413.3%
m26.7%
h26.7%
z26.7%
x26.7%
l13.3%

+ 2 more answers

Random number 1-10 · English

n = 30 · H = 0.56 bit · uniform baseline 3.32 bit

AnswerCountShare
72790.0%
326.7%
413.3%

Random number 1-10 · Chinese

n = 30 · H = 0.42 bit · uniform baseline 3.32 bit

AnswerCountShare
72893.3%
413.3%
613.3%

Random number 1-100 · English

n = 30 · H = 1.44 bit · uniform baseline 6.64 bit

AnswerCountShare
422066.7%
73620.0%
4726.7%
713.3%
5713.3%

Random number 1-100 · Chinese

n = 30 · H = 2.02 bit · uniform baseline 6.64 bit

AnswerCountShare
421963.3%
3726.7%
5726.7%
7326.7%
113.3%
4713.3%
5613.3%
6413.3%

+ 1 more answers

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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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