Kimi K2 0711 Behavioral Fingerprint

How MoonshotAI's Kimi K2 0711 answers one-word probe questions at temperature 1.0 — random numbers, colors, animals, coin flips — measured over 425 valid samples in the open dataset of "One Token Is Enough" (arXiv:2607.10252).

Vendor

MoonshotAI

Data generated

2026-07-08

Probe cells

15

Valid samples

425

Randomness score

28 / 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)

73

17 / 28 answers

Favorite color

teal

8 / 30 answers

Coin flip: heads

96%

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 = 25 · H = 0.24 bit · uniform baseline 1.00 bit

AnswerCountShare
heads2496.0%
tails14.0%

Coin flip · Chinese

n = 29 · H = 0.22 bit · uniform baseline 1.00 bit

AnswerCountShare
heads2896.6%
tails13.4%

Favorite number · English

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

AnswerCountShare
72480.0%
42620.0%

Favorite number · Chinese

n = 28 · H = 0.89 bit · uniform baseline 13.29 bit

AnswerCountShare
72278.6%
42517.9%
2313.6%

Random animal · English

n = 29 · H = 2.32 bit · uniform baseline 5.64 bit

AnswerCountShare
octopus931.0%
axolotl724.1%
platypus620.7%
pangolin413.8%
elephant26.9%
okapi13.4%

Random animal · Chinese

n = 29 · H = 3.08 bit · uniform baseline 5.64 bit

AnswerCountShare
企鹅724.1%
猫头鹰517.2%
老虎517.2%
310.3%
26.9%
长颈鹿26.9%
海豚13.4%
熊猫13.4%

+ 3 more answers

Random city · English

n = 27 · H = 2.80 bit · uniform baseline 5.64 bit

AnswerCountShare
lisbon933.3%
kyoto622.2%
tallinn311.1%
lagos27.4%
timbuktu27.4%
osaka13.7%
lviv13.7%
bishkek13.7%

+ 2 more answers

Random city · Chinese

n = 29 · H = 1.82 bit · uniform baseline 5.64 bit

AnswerCountShare
成都1137.9%
杭州931.0%
上海724.1%
巴塞罗那26.9%

Random color · English

n = 30 · H = 2.77 bit · uniform baseline 4.91 bit

AnswerCountShare
teal826.7%
azure723.3%
cyan516.7%
magenta310.0%
purple26.7%
blue26.7%
crimson13.3%
maroon13.3%

+ 1 more answers

Random color · Chinese

n = 27 · H = 1.46 bit · uniform baseline 4.91 bit

AnswerCountShare
靛蓝1763.0%
622.2%
27.4%
27.4%

Random letter · English

n = 29 · H = 1.76 bit · uniform baseline 4.70 bit

AnswerCountShare
q1758.6%
k620.7%
x310.3%
w13.4%
j13.4%
r13.4%

Random number 1-10 · English

n = 29 · H = 0.22 bit · uniform baseline 3.32 bit

AnswerCountShare
72896.6%
513.4%

Random number 1-10 · Chinese

n = 29 · H = 0.22 bit · uniform baseline 3.32 bit

AnswerCountShare
72896.6%
513.4%

Random number 1-100 · English

n = 28 · H = 1.14 bit · uniform baseline 6.64 bit

AnswerCountShare
731760.7%
471035.7%
5713.6%

Random number 1-100 · Chinese

n = 27 · H = 1.81 bit · uniform baseline 6.64 bit

AnswerCountShare
731140.7%
47829.6%
42622.2%
3727.4%

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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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