Mistral Medium 3.1 Behavioral Fingerprint

How Mistral's Mistral Medium 3.1 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

Mistral

Data generated

2026-07-08

Probe cells

15

Valid samples

449

Randomness score

15 / 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)

47

20 / 30 answers

Favorite color

turquoise

21 / 30 answers

Coin flip: heads

7%

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 = 0.57 bit · uniform baseline 1.00 bit

AnswerCountShare
tails2686.7%
heads413.3%

Coin flip · Chinese

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

AnswerCountShare
tails30100.0%

Favorite number · English

n = 30 · H = 0.00 bit · uniform baseline 13.29 bit

AnswerCountShare
730100.0%

Favorite number · Chinese

n = 30 · H = 0.00 bit · uniform baseline 13.29 bit

AnswerCountShare
730100.0%

Random animal · English

n = 30 · H = 0.77 bit · uniform baseline 5.64 bit

AnswerCountShare
giraffe2583.3%
koala413.3%
kangaroo13.3%

Random animal · Chinese

n = 30 · H = 0.78 bit · uniform baseline 5.64 bit

AnswerCountShare
长颈鹿2376.7%
猫头鹰723.3%

Random city · English

n = 29 · H = 1.00 bit · uniform baseline 5.64 bit

AnswerCountShare
oslo2172.4%
osaka724.1%
marseille13.4%

Random city · Chinese

n = 30 · H = 0.47 bit · uniform baseline 5.64 bit

AnswerCountShare
上海2790.0%
成都310.0%

Random color · English

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

AnswerCountShare
turquoise2170.0%
teal516.7%
cyan26.7%
cerulean26.7%

Random color · Chinese

n = 30 · H = 1.66 bit · uniform baseline 4.91 bit

AnswerCountShare
1653.3%
826.7%
310.0%
紫罗兰310.0%

Random letter · English

n = 30 · H = 1.21 bit · uniform baseline 4.70 bit

AnswerCountShare
k2066.7%
q723.3%
m310.0%

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 = 1.37 bit · uniform baseline 6.64 bit

AnswerCountShare
472066.7%
73516.7%
57413.3%
3713.3%

Random number 1-100 · Chinese

n = 30 · H = 0.77 bit · uniform baseline 6.64 bit

AnswerCountShare
472583.3%
42413.3%
7313.3%

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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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