GLM 4.5V Behavioral Fingerprint

How Z.ai's GLM 4.5V 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

Z.ai

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)

47

19 / 30 answers

Favorite color

blue

28 / 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 = 0.21 bit · uniform baseline 1.00 bit

AnswerCountShare
heads2996.7%
tails13.3%

Coin flip · Chinese

n = 30 · H = 0.65 bit · uniform baseline 1.00 bit

AnswerCountShare
heads2583.3%
tails516.7%

Favorite number · English

n = 30 · H = 0.21 bit · uniform baseline 13.29 bit

AnswerCountShare
72996.7%
4213.3%

Favorite number · Chinese

n = 30 · H = 0.35 bit · uniform baseline 13.29 bit

AnswerCountShare
72893.3%
326.7%

Random animal · English

n = 30 · H = 0.21 bit · uniform baseline 5.64 bit

AnswerCountShare
giraffe2996.7%
lion13.3%

Random animal · Chinese

n = 30 · H = 1.29 bit · uniform baseline 5.64 bit

AnswerCountShare
狮子1446.7%
1446.7%
猫头鹰26.7%

Random city · English

n = 30 · H = 0.84 bit · uniform baseline 5.64 bit

AnswerCountShare
tokyo2273.3%
paris826.7%

Random city · Chinese

n = 30 · H = 1.00 bit · uniform baseline 5.64 bit

AnswerCountShare
东京1653.3%
巴黎1446.7%

Random color · English

n = 30 · H = 0.35 bit · uniform baseline 4.91 bit

AnswerCountShare
blue2893.3%
cyan26.7%

Random color · Chinese

n = 30 · H = 0.92 bit · uniform baseline 4.91 bit

AnswerCountShare
2066.7%
1033.3%

Random letter · English

n = 30 · H = 1.17 bit · uniform baseline 4.70 bit

AnswerCountShare
k1653.3%
g1343.3%
e13.3%

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 = 0.21 bit · uniform baseline 3.32 bit

AnswerCountShare
72996.7%
613.3%

Random number 1-100 · English

n = 30 · H = 1.26 bit · uniform baseline 6.64 bit

AnswerCountShare
471963.3%
42826.7%
57310.0%

Random number 1-100 · Chinese

n = 30 · H = 1.75 bit · uniform baseline 6.64 bit

AnswerCountShare
571550.0%
67723.3%
42516.7%
47310.0%

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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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