Mistral Medium 3 Behavioral Fingerprint

How Mistral's Mistral Medium 3 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

Mistral

Data generated

2026-07-08

Probe cells

15

Valid samples

450

Randomness score

17 / 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)

57

17 / 30 answers

Favorite color

magenta

25 / 30 answers

Coin flip: heads

93%

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 = 0.47 bit · uniform baseline 1.00 bit

AnswerCountShare
heads2790.0%
tails310.0%

Coin flip · Chinese

n = 30 · H = 0.21 bit · uniform baseline 1.00 bit

AnswerCountShare
heads2996.7%
tails13.3%

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 = 0.57 bit · uniform baseline 5.64 bit

AnswerCountShare
giraffe2686.7%
koala413.3%

Random animal · Chinese

n = 30 · H = 0.67 bit · uniform baseline 5.64 bit

AnswerCountShare
猫头鹰2686.7%
长颈鹿310.0%
13.3%

Random city · English

n = 30 · H = 0.97 bit · uniform baseline 5.64 bit

AnswerCountShare
chicago2480.0%
tokyo413.3%
boulder13.3%
springfield13.3%

Random city · Chinese

n = 30 · H = 1.85 bit · uniform baseline 5.64 bit

AnswerCountShare
上海1860.0%
北京413.3%
巴黎310.0%
东京26.7%
伦敦26.7%
纽约13.3%

Random color · English

n = 30 · H = 0.88 bit · uniform baseline 4.91 bit

AnswerCountShare
magenta2583.3%
cyan310.0%
indigo13.3%
turquoise13.3%

Random color · Chinese

n = 30 · H = 1.27 bit · uniform baseline 4.91 bit

AnswerCountShare
1653.3%
1240.0%
绿26.7%

Random letter · English

n = 30 · H = 0.42 bit · uniform baseline 4.70 bit

AnswerCountShare
g2893.3%
m13.3%
d13.3%

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 = 0.42 bit · uniform baseline 3.32 bit

AnswerCountShare
72893.3%
313.3%
613.3%

Random number 1-100 · English

n = 30 · H = 1.55 bit · uniform baseline 6.64 bit

AnswerCountShare
571756.7%
47723.3%
42516.7%
3713.3%

Random number 1-100 · Chinese

n = 30 · H = 2.06 bit · uniform baseline 6.64 bit

AnswerCountShare
571446.7%
42826.7%
3726.7%
4726.7%
5626.7%
6726.7%

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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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