DeepSeek V3.1 Behavioral Fingerprint

How DeepSeek's DeepSeek V3.1 answers one-word probe questions at temperature 1.0 — random numbers, colors, animals, coin flips — measured over 449 valid samples in the open dataset of "One Token Is Enough" (arXiv:2607.10252).

Vendor

DeepSeek

Data generated

2026-07-08

Probe cells

15

Valid samples

449

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

21 / 30 answers

Favorite color

blue

27 / 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 = 1.32 bit · uniform baseline 13.29 bit

AnswerCountShare
421756.7%
71136.7%
4713.3%
777713.3%

Favorite number · Chinese

n = 29 · H = 1.18 bit · uniform baseline 13.29 bit

AnswerCountShare
421551.7%
71344.8%
1013.4%

Random animal · English

n = 30 · H = 2.98 bit · uniform baseline 5.64 bit

AnswerCountShare
elephant930.0%
dog723.3%
giraffe310.0%
tiger310.0%
cow13.3%
lion13.3%
cat13.3%
horse13.3%

+ 4 more answers

Random animal · Chinese

n = 30 · H = 2.97 bit · uniform baseline 5.64 bit

AnswerCountShare
1033.3%
狮子413.3%
413.3%
310.0%
大象26.7%
26.7%
kangaroo13.3%
giraffe13.3%

+ 3 more answers

Random city · English

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

AnswerCountShare
tokyo1136.7%
chicago620.0%
paris516.7%
london310.0%
toronto26.7%
berlin13.3%
buffalo13.3%
seattle13.3%

Random city · Chinese

n = 30 · H = 3.00 bit · uniform baseline 5.64 bit

AnswerCountShare
东京1446.7%
上海26.7%
tokyo26.7%
kolkata13.3%
重庆13.3%
法兰克福13.3%
芝加哥13.3%
伦敦13.3%

+ 7 more answers

Random color · English

n = 30 · H = 0.47 bit · uniform baseline 4.91 bit

AnswerCountShare
blue2790.0%
red310.0%

Random color · Chinese

n = 30 · H = 1.12 bit · uniform baseline 4.91 bit

AnswerCountShare
2273.3%
620.0%
red13.3%
绿13.3%

Random letter · English

n = 30 · H = 3.49 bit · uniform baseline 4.70 bit

AnswerCountShare
g723.3%
q413.3%
t310.0%
k26.7%
x26.7%
m26.7%
h26.7%
p26.7%

+ 6 more answers

Random number 1-10 · English

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

AnswerCountShare
72893.3%
313.3%
513.3%

Random number 1-10 · Chinese

n = 30 · H = 1.64 bit · uniform baseline 3.32 bit

AnswerCountShare
72066.7%
5310.0%
6310.0%
326.7%
413.3%
813.3%

Random number 1-100 · English

n = 30 · H = 1.54 bit · uniform baseline 6.64 bit

AnswerCountShare
422170.0%
47310.0%
5726.7%
7326.7%
3713.3%
7413.3%

Random number 1-100 · Chinese

n = 30 · H = 1.69 bit · uniform baseline 6.64 bit

AnswerCountShare
422066.7%
57413.3%
7226.7%
4713.3%
6413.3%
7313.3%
8613.3%

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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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