GLM 4.5 Behavioral Fingerprint

How Z.ai's GLM 4.5 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

25 / 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)

42

22 / 30 answers

Favorite color

blue

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 = 0.57 bit · uniform baseline 1.00 bit

AnswerCountShare
heads2686.7%
tails413.3%

Coin flip · Chinese

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

AnswerCountShare
heads30100.0%

Favorite number · English

n = 30 · H = 1.57 bit · uniform baseline 13.29 bit

AnswerCountShare
422066.7%
7516.7%
326.7%
413.3%
813.3%
1713.3%

Favorite number · Chinese

n = 30 · H = 1.30 bit · uniform baseline 13.29 bit

AnswerCountShare
72066.7%
42723.3%
326.7%
113.3%

Random animal · English

n = 30 · H = 1.17 bit · uniform baseline 5.64 bit

AnswerCountShare
giraffe1653.3%
elephant1343.3%
zebra13.3%

Random animal · Chinese

n = 30 · H = 1.48 bit · uniform baseline 5.64 bit

AnswerCountShare
大象2066.7%
长颈鹿516.7%
狮子310.0%
13.3%
熊猫13.3%

Random city · English

n = 30 · H = 3.79 bit · uniform baseline 5.64 bit

AnswerCountShare
stockholm413.3%
chicago413.3%
barcelona310.0%
tokyo310.0%
london26.7%
paris26.7%
montreal26.7%
denver26.7%

+ 8 more answers

Random city · Chinese

n = 30 · H = 2.93 bit · uniform baseline 5.64 bit

AnswerCountShare
巴黎826.7%
东京723.3%
上海516.7%
柏林26.7%
伦敦26.7%
汉堡13.3%
开罗13.3%
马德里13.3%

+ 3 more answers

Random color · English

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

AnswerCountShare
blue2583.3%
turquoise310.0%
maroon13.3%
yellow13.3%

Random color · Chinese

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

AnswerCountShare
2996.7%
13.3%

Random letter · English

n = 30 · H = 2.49 bit · uniform baseline 4.70 bit

AnswerCountShare
k1033.3%
q723.3%
p620.0%
g26.7%
r26.7%
x13.3%
e13.3%
h13.3%

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%
413.3%

Random number 1-100 · English

n = 30 · H = 1.41 bit · uniform baseline 6.64 bit

AnswerCountShare
422273.3%
47310.0%
7326.7%
3713.3%
5713.3%
6713.3%

Random number 1-100 · Chinese

n = 30 · H = 1.21 bit · uniform baseline 6.64 bit

AnswerCountShare
422376.7%
73310.0%
3726.7%
4713.3%
5713.3%

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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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