GLM 4.6 Behavioral Fingerprint
How Z.ai's GLM 4.6 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
35 / 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 / 30 answers
Favorite color
turquoise
15 / 30 answers
Coin flip: heads
85%
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 = 0.78 bit · uniform baseline 1.00 bit
| Answer | Count | Share |
|---|---|---|
| heads | 23 | 76.7% |
| tails | 7 | 23.3% |
Coin flip · Chinese
n = 30 · H = 0.35 bit · uniform baseline 1.00 bit
| Answer | Count | Share |
|---|---|---|
| heads | 28 | 93.3% |
| tails | 2 | 6.7% |
Favorite number · English
n = 30 · H = 0.67 bit · uniform baseline 13.29 bit
| Answer | Count | Share |
|---|---|---|
| 42 | 26 | 86.7% |
| 7 | 3 | 10.0% |
| 44 | 1 | 3.3% |
Favorite number · Chinese
n = 29 · H = 1.20 bit · uniform baseline 13.29 bit
| Answer | Count | Share |
|---|---|---|
| 42 | 20 | 69.0% |
| 7 | 7 | 24.1% |
| 1 | 1 | 3.4% |
| 3 | 1 | 3.4% |
Random animal · English
n = 30 · H = 1.35 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| elephant | 14 | 46.7% |
| giraffe | 14 | 46.7% |
| okapi | 1 | 3.3% |
| platypus | 1 | 3.3% |
Random animal · Chinese
n = 30 · H = 1.91 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| 长颈鹿 | 18 | 60.0% |
| 狗 | 4 | 13.3% |
| 熊猫 | 3 | 10.0% |
| 大象 | 2 | 6.7% |
| 考拉 | 1 | 3.3% |
| 狮子 | 1 | 3.3% |
| 長頸鹿 | 1 | 3.3% |
Random city · English
n = 30 · H = 4.10 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| tokyo | 6 | 20.0% |
| oslo | 3 | 10.0% |
| paris | 2 | 6.7% |
| chicago | 2 | 6.7% |
| quito | 1 | 3.3% |
| barcelona | 1 | 3.3% |
| sydney | 1 | 3.3% |
| sanmarino | 1 | 3.3% |
+ 13 more answers
Random city · Chinese
n = 30 · H = 3.54 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| 上海 | 5 | 16.7% |
| 巴黎 | 4 | 13.3% |
| 东京 | 4 | 13.3% |
| 伦敦 | 3 | 10.0% |
| 柏林 | 3 | 10.0% |
| 伊斯坦布尔 | 2 | 6.7% |
| 京都 | 2 | 6.7% |
| 开罗 | 1 | 3.3% |
+ 6 more answers
Random color · English
n = 30 · H = 2.57 bit · uniform baseline 4.91 bit
| Answer | Count | Share |
|---|---|---|
| turquoise | 15 | 50.0% |
| cerulean | 3 | 10.0% |
| teal | 3 | 10.0% |
| mauve | 2 | 6.7% |
| maroon | 1 | 3.3% |
| emerald | 1 | 3.3% |
| chartreuse | 1 | 3.3% |
| azure | 1 | 3.3% |
+ 3 more answers
Random color · Chinese
n = 30 · H = 2.11 bit · uniform baseline 4.91 bit
| Answer | Count | Share |
|---|---|---|
| 蓝 | 18 | 60.0% |
| 绿 | 3 | 10.0% |
| 青 | 2 | 6.7% |
| 紫 | 2 | 6.7% |
| 靛蓝 | 1 | 3.3% |
| 粉红 | 1 | 3.3% |
| 天蓝 | 1 | 3.3% |
| blue | 1 | 3.3% |
+ 1 more answers
Random letter · English
n = 30 · H = 2.12 bit · uniform baseline 4.70 bit
| Answer | Count | Share |
|---|---|---|
| k | 16 | 53.3% |
| q | 6 | 20.0% |
| p | 2 | 6.7% |
| g | 2 | 6.7% |
| m | 1 | 3.3% |
| r | 1 | 3.3% |
| s | 1 | 3.3% |
| t | 1 | 3.3% |
Random number 1-10 · English
n = 30 · H = 0.21 bit · uniform baseline 3.32 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 29 | 96.7% |
| 3 | 1 | 3.3% |
Random number 1-10 · Chinese
n = 30 · H = 0.42 bit · uniform baseline 3.32 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 28 | 93.3% |
| 3 | 1 | 3.3% |
| 4 | 1 | 3.3% |
Random number 1-100 · English
n = 30 · H = 0.91 bit · uniform baseline 6.64 bit
| Answer | Count | Share |
|---|---|---|
| 42 | 24 | 80.0% |
| 73 | 4 | 13.3% |
| 37 | 2 | 6.7% |
Random number 1-100 · Chinese
n = 30 · H = 1.57 bit · uniform baseline 6.64 bit
| Answer | Count | Share |
|---|---|---|
| 42 | 17 | 56.7% |
| 73 | 8 | 26.7% |
| 37 | 3 | 10.0% |
| 57 | 2 | 6.7% |
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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.