Gemini 3.1 Flash Lite Behavioral Fingerprint

How Google's Gemini 3.1 Flash Lite 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

Google

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

26 / 30 answers

Favorite color

blue

26 / 30 answers

Coin flip: heads

90%

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 = 0.72 bit · uniform baseline 1.00 bit

AnswerCountShare
heads2480.0%
tails620.0%

Coin flip · Chinese

n = 30 · H = 0.00 bit · uniform baseline 1.00 bit

AnswerCountShare
heads30100.0%

Favorite number · English

n = 30 · H = 1.00 bit · uniform baseline 13.29 bit

AnswerCountShare
71653.3%
421446.7%

Favorite number · Chinese

n = 30 · H = 0.72 bit · uniform baseline 13.29 bit

AnswerCountShare
72480.0%
42620.0%

Random animal · English

n = 30 · H = 2.02 bit · uniform baseline 5.64 bit

AnswerCountShare
elephant1550.0%
tiger826.7%
penguin26.7%
giraffe26.7%
elephants13.3%
wolf13.3%
capybara13.3%

Random animal · Chinese

n = 30 · H = 1.63 bit · uniform baseline 5.64 bit

AnswerCountShare
企鹅2170.0%
老虎26.7%
26.7%
斑马26.7%
熊猫13.3%
13.3%
长颈鹿13.3%

Random city · English

n = 30 · H = 0.88 bit · uniform baseline 5.64 bit

AnswerCountShare
tokyo2170.0%
kyoto930.0%

Random city · Chinese

n = 30 · H = 2.28 bit · uniform baseline 5.64 bit

AnswerCountShare
成都1653.3%
杭州413.3%
上海310.0%
北京26.7%
重庆13.3%
巴黎13.3%
兰州13.3%
东京13.3%

+ 1 more answers

Random color · English

n = 30 · H = 0.70 bit · uniform baseline 4.91 bit

AnswerCountShare
blue2686.7%
azure26.7%
indigo26.7%

Random color · Chinese

n = 30 · H = 2.14 bit · uniform baseline 4.91 bit

AnswerCountShare
1240.0%
1033.3%
310.0%
靛青26.7%
翠绿13.3%
绿13.3%
quoise13.3%

Random letter · English

n = 30 · H = 1.31 bit · uniform baseline 4.70 bit

AnswerCountShare
k2170.0%
q516.7%
g26.7%
m26.7%

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 = 0.67 bit · uniform baseline 6.64 bit

AnswerCountShare
422686.7%
47310.0%
7413.3%

Random number 1-100 · Chinese

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

AnswerCountShare
422996.7%
4713.3%

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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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