Qwen3.5-9B Behavioral Fingerprint

How Qwen's Qwen3.5-9B answers one-word probe questions at temperature 1.0 — random numbers, colors, animals, coin flips — measured over 446 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

446

Randomness score

33 / 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

23 / 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 = 0.97 bit · uniform baseline 1.00 bit

AnswerCountShare
tails1860.0%
heads1240.0%

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 = 0.57 bit · uniform baseline 13.29 bit

AnswerCountShare
72686.7%
42413.3%

Favorite number · Chinese

n = 30 · H = 0.97 bit · uniform baseline 13.29 bit

AnswerCountShare
72480.0%
42413.3%
113.3%
313.3%

Random animal · English

n = 29 · H = 3.51 bit · uniform baseline 5.64 bit

AnswerCountShare
elephant724.1%
eagle413.8%
dog310.3%
penguin310.3%
cat26.9%
fox13.4%
bear13.4%
octopus13.4%

+ 7 more answers

Random animal · Chinese

n = 28 · H = 2.40 bit · uniform baseline 5.64 bit

AnswerCountShare
熊猫932.1%
企鹅828.6%
414.3%
大象310.7%
27.1%
13.6%
考拉13.6%

Random city · English

n = 30 · H = 2.19 bit · uniform baseline 5.64 bit

AnswerCountShare
tokyo1240.0%
paris930.0%
kyoto413.3%
berlin26.7%
buenos13.3%
london13.3%
istanbul13.3%

Random city · Chinese

n = 29 · H = 2.81 bit · uniform baseline 5.64 bit

AnswerCountShare
巴黎1241.4%
东京517.2%
柏林310.3%
南京13.4%
berlin13.4%
paris13.4%
悉尼13.4%
北京13.4%

+ 4 more answers

Random color · English

n = 30 · H = 1.31 bit · uniform baseline 4.91 bit

AnswerCountShare
blue2376.7%
green26.7%
purple26.7%
pink13.3%
red13.3%
teal13.3%

Random color · Chinese

n = 30 · H = 0.83 bit · uniform baseline 4.91 bit

AnswerCountShare
2686.7%
13.3%
靛蓝13.3%
绿13.3%
13.3%

Random letter · English

n = 30 · H = 2.52 bit · uniform baseline 4.70 bit

AnswerCountShare
k1136.7%
q620.0%
x413.3%
m413.3%
j26.7%
z13.3%
v13.3%
f13.3%

Random number 1-10 · English

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

AnswerCountShare
72893.3%
313.3%
413.3%

Random number 1-10 · Chinese

n = 30 · H = 0.99 bit · uniform baseline 3.32 bit

AnswerCountShare
72376.7%
3516.7%
526.7%

Random number 1-100 · English

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

AnswerCountShare
422996.7%
713.3%

Random number 1-100 · Chinese

n = 30 · H = 1.05 bit · uniform baseline 6.64 bit

AnswerCountShare
422376.7%
73516.7%
3613.3%
3713.3%

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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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