GLM 5.1 Behavioral Fingerprint

How Z.ai's GLM 5.1 answers one-word probe questions at temperature 1.0 — random numbers, colors, animals, coin flips — measured over 393 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

393

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

24 / 28 answers

Favorite color

cyan

11 / 27 answers

Coin flip: heads

87%

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 = 27 · H = 0.38 bit · uniform baseline 1.00 bit

AnswerCountShare
heads2592.6%
tails27.4%

Coin flip · Chinese

n = 25 · H = 0.72 bit · uniform baseline 1.00 bit

AnswerCountShare
heads2080.0%
tails520.0%

Favorite number · English

n = 25 · H = 0.24 bit · uniform baseline 13.29 bit

AnswerCountShare
72496.0%
4214.0%

Favorite number · Chinese

n = 26 · H = 1.07 bit · uniform baseline 13.29 bit

AnswerCountShare
71973.1%
8519.2%
4227.7%

Random animal · English

n = 25 · H = 1.73 bit · uniform baseline 5.64 bit

AnswerCountShare
platypus1664.0%
dolphin312.0%
elephant28.0%
sloth28.0%
giraffe14.0%
hippopotamus14.0%

Random animal · Chinese

n = 27 · H = 3.00 bit · uniform baseline 5.64 bit

AnswerCountShare
1037.0%
长颈鹿311.1%
袋鼠311.1%
斑马311.1%
猎豹13.7%
树懒13.7%
狐狸13.7%
海豚13.7%

+ 4 more answers

Random city · English

n = 27 · H = 1.81 bit · uniform baseline 5.64 bit

AnswerCountShare
berlin1140.7%
tokyo829.6%
oslo622.2%
kyoto27.4%

Random city · Chinese

n = 24 · H = 0.50 bit · uniform baseline 5.64 bit

AnswerCountShare
东京2291.7%
伦敦14.2%
巴黎14.2%

Random color · English

n = 27 · H = 1.98 bit · uniform baseline 4.91 bit

AnswerCountShare
cyan1140.7%
magenta829.6%
blue414.8%
cerulean311.1%
teal13.7%

Random color · Chinese

n = 26 · H = 1.92 bit · uniform baseline 4.91 bit

AnswerCountShare
830.8%
830.8%
726.9%
绿311.5%

Random letter · English

n = 25 · H = 1.51 bit · uniform baseline 4.70 bit

AnswerCountShare
k1768.0%
q312.0%
g28.0%
m28.0%
f14.0%

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 = 27 · H = 0.00 bit · uniform baseline 3.32 bit

AnswerCountShare
727100.0%

Random number 1-100 · English

n = 28 · H = 0.71 bit · uniform baseline 6.64 bit

AnswerCountShare
422485.7%
73310.7%
4713.6%

Random number 1-100 · Chinese

n = 24 · H = 0.94 bit · uniform baseline 6.64 bit

AnswerCountShare
421979.2%
73312.5%
4728.3%

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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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