GLM 4.6V Behavioral Fingerprint

How Z.ai's GLM 4.6V 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

Z.ai

Data generated

2026-07-08

Probe cells

15

Valid samples

449

Randomness score

11 / 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

24 / 30 answers

Favorite color

blue

29 / 30 answers

Coin flip: heads

100%

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 = 0.00 bit · uniform baseline 1.00 bit

AnswerCountShare
heads30100.0%

Coin flip · Chinese

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

AnswerCountShare
heads30100.0%

Favorite number · English

n = 29 · H = 0.22 bit · uniform baseline 13.29 bit

AnswerCountShare
72896.6%
4213.4%

Favorite number · Chinese

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

AnswerCountShare
72996.7%
4213.3%

Random animal · English

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

AnswerCountShare
giraffe2583.3%
capybara310.0%
elephant13.3%
lion13.3%

Random animal · Chinese

n = 30 · H = 0.92 bit · uniform baseline 5.64 bit

AnswerCountShare
2066.7%
狮子1033.3%

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 = 1.46 bit · uniform baseline 5.64 bit

AnswerCountShare
东京1446.7%
巴黎1343.3%
伦敦26.7%
上海13.3%

Random color · English

n = 30 · H = 0.21 bit · uniform baseline 4.91 bit

AnswerCountShare
blue2996.7%
cyan13.3%

Random color · Chinese

n = 30 · H = 0.97 bit · uniform baseline 4.91 bit

AnswerCountShare
1860.0%
1240.0%

Random letter · English

n = 30 · H = 1.29 bit · uniform baseline 4.70 bit

AnswerCountShare
g1446.7%
k1446.7%
q26.7%

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 = 0.85 bit · uniform baseline 6.64 bit

AnswerCountShare
472480.0%
42516.7%
5713.3%

Random number 1-100 · Chinese

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

AnswerCountShare
571446.7%
67826.7%
42620.0%
4726.7%

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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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