GLM 4.7 Behavioral Fingerprint
How Z.ai's GLM 4.7 answers one-word probe questions at temperature 1.0 — random numbers, colors, animals, coin flips — measured over 441 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
441
Randomness score
37 / 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
28 / 30 answers
Favorite color
blue
8 / 30 answers
Coin flip: heads
78%
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 = 29 · H = 0.98 bit · uniform baseline 1.00 bit
| Answer | Count | Share |
|---|---|---|
| heads | 17 | 58.6% |
| tails | 12 | 41.4% |
Coin flip · Chinese
n = 29 · H = 0.22 bit · uniform baseline 1.00 bit
| Answer | Count | Share |
|---|---|---|
| heads | 28 | 96.6% |
| tails | 1 | 3.4% |
Favorite number · English
n = 30 · H = 0.42 bit · uniform baseline 13.29 bit
| Answer | Count | Share |
|---|---|---|
| 42 | 28 | 93.3% |
| 0 | 1 | 3.3% |
| 7 | 1 | 3.3% |
Favorite number · Chinese
n = 29 · H = 1.09 bit · uniform baseline 13.29 bit
| Answer | Count | Share |
|---|---|---|
| 42 | 19 | 65.5% |
| 7 | 9 | 31.0% |
| 8 | 1 | 3.4% |
Random animal · English
n = 28 · H = 2.43 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| giraffe | 11 | 39.3% |
| elephant | 9 | 32.1% |
| tiger | 1 | 3.6% |
| echidna | 1 | 3.6% |
| dog | 1 | 3.6% |
| squid | 1 | 3.6% |
| platypus | 1 | 3.6% |
| kangaroo | 1 | 3.6% |
+ 2 more answers
Random animal · Chinese
n = 29 · H = 3.11 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| 大象 | 7 | 24.1% |
| 熊猫 | 6 | 20.7% |
| 长颈鹿 | 3 | 10.3% |
| 狗 | 3 | 10.3% |
| 猎豹 | 2 | 6.9% |
| 河马 | 2 | 6.9% |
| 猫 | 2 | 6.9% |
| 斑马 | 1 | 3.4% |
+ 3 more answers
Random city · English
n = 29 · H = 2.72 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| tokyo | 9 | 31.0% |
| london | 6 | 20.7% |
| berlin | 4 | 13.8% |
| paris | 4 | 13.8% |
| kyoto | 2 | 6.9% |
| sydney | 1 | 3.4% |
| seattle | 1 | 3.4% |
| manchester | 1 | 3.4% |
+ 1 more answers
Random city · Chinese
n = 30 · H = 2.87 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| 巴黎 | 8 | 26.7% |
| 东京 | 6 | 20.0% |
| 上海 | 6 | 20.0% |
| 北京 | 2 | 6.7% |
| 柏林 | 2 | 6.7% |
| 伦敦 | 2 | 6.7% |
| 马德里 | 1 | 3.3% |
| 伊斯坦布尔 | 1 | 3.3% |
+ 2 more answers
Random color · English
n = 30 · H = 3.11 bit · uniform baseline 4.91 bit
| Answer | Count | Share |
|---|---|---|
| blue | 8 | 26.7% |
| turquoise | 5 | 16.7% |
| cyan | 3 | 10.0% |
| cerulean | 3 | 10.0% |
| azure | 3 | 10.0% |
| purple | 2 | 6.7% |
| teal | 2 | 6.7% |
| chartreuse | 1 | 3.3% |
+ 3 more answers
Random color · Chinese
n = 30 · H = 2.05 bit · uniform baseline 4.91 bit
| Answer | Count | Share |
|---|---|---|
| 蓝 | 16 | 53.3% |
| 绿 | 5 | 16.7% |
| 橙 | 4 | 13.3% |
| 紫 | 2 | 6.7% |
| 天蓝 | 1 | 3.3% |
| 靛蓝 | 1 | 3.3% |
| 红 | 1 | 3.3% |
Random letter · English
n = 30 · H = 2.26 bit · uniform baseline 4.70 bit
| Answer | Count | Share |
|---|---|---|
| k | 11 | 36.7% |
| g | 9 | 30.0% |
| q | 4 | 13.3% |
| p | 3 | 10.0% |
| m | 1 | 3.3% |
| j | 1 | 3.3% |
| r | 1 | 3.3% |
Random number 1-10 · English
n = 29 · H = 0.83 bit · uniform baseline 3.32 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 24 | 82.8% |
| 4 | 3 | 10.3% |
| 3 | 2 | 6.9% |
Random number 1-10 · Chinese
n = 29 · H = 0.83 bit · uniform baseline 3.32 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 24 | 82.8% |
| 4 | 3 | 10.3% |
| 3 | 2 | 6.9% |
Random number 1-100 · English
n = 30 · H = 0.42 bit · uniform baseline 6.64 bit
| Answer | Count | Share |
|---|---|---|
| 42 | 28 | 93.3% |
| 37 | 1 | 3.3% |
| 58 | 1 | 3.3% |
Random number 1-100 · Chinese
n = 30 · H = 0.88 bit · uniform baseline 6.64 bit
| Answer | Count | Share |
|---|---|---|
| 42 | 25 | 83.3% |
| 37 | 3 | 10.0% |
| 58 | 1 | 3.3% |
| 73 | 1 | 3.3% |
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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.