Claude Sonnet 4 Behavioral Fingerprint
How Anthropic's Claude Sonnet 4 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
Anthropic
Data generated
2026-07-08
Probe cells
15
Valid samples
450
Randomness score
17 / 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
20 / 30 answers
Favorite color
blue
29 / 30 answers
Coin flip: heads
98%
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 = 0.21 bit · uniform baseline 1.00 bit
| Answer | Count | Share |
|---|---|---|
| heads | 29 | 96.7% |
| tails | 1 | 3.3% |
Coin flip · Chinese
n = 30 · H = 0.00 bit · uniform baseline 1.00 bit
| Answer | Count | Share |
|---|---|---|
| heads | 30 | 100.0% |
Favorite number · English
n = 30 · H = 0.77 bit · uniform baseline 13.29 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 25 | 83.3% |
| 42 | 4 | 13.3% |
| 17 | 1 | 3.3% |
Favorite number · Chinese
n = 30 · H = 0.57 bit · uniform baseline 13.29 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 26 | 86.7% |
| 42 | 4 | 13.3% |
Random animal · English
n = 30 · H = 1.90 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| elephant | 13 | 43.3% |
| penguin | 10 | 33.3% |
| giraffe | 3 | 10.0% |
| tiger | 2 | 6.7% |
| lion | 2 | 6.7% |
Random animal · Chinese
n = 30 · H = 1.93 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| 企鹅 | 15 | 50.0% |
| 长颈鹿 | 8 | 26.7% |
| 大象 | 3 | 10.0% |
| 袋鼠 | 2 | 6.7% |
| 熊猫 | 1 | 3.3% |
| 狐狸 | 1 | 3.3% |
Random city · English
n = 30 · H = 2.65 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| tokyo | 10 | 33.3% |
| denver | 7 | 23.3% |
| barcelona | 4 | 13.3% |
| seattle | 3 | 10.0% |
| chicago | 2 | 6.7% |
| bangkok | 1 | 3.3% |
| detroit | 1 | 3.3% |
| madrid | 1 | 3.3% |
+ 1 more answers
Random city · Chinese
n = 30 · H = 2.54 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| 巴塞罗那 | 12 | 40.0% |
| 巴黎 | 8 | 26.7% |
| 西雅图 | 2 | 6.7% |
| 北京 | 2 | 6.7% |
| 昆明 | 1 | 3.3% |
| 西安 | 1 | 3.3% |
| 慕尼黑 | 1 | 3.3% |
| 杭州 | 1 | 3.3% |
+ 2 more answers
Random color · English
n = 30 · H = 0.21 bit · uniform baseline 4.91 bit
| Answer | Count | Share |
|---|---|---|
| blue | 29 | 96.7% |
| purple | 1 | 3.3% |
Random color · Chinese
n = 30 · H = 0.35 bit · uniform baseline 4.91 bit
| Answer | Count | Share |
|---|---|---|
| 蓝 | 28 | 93.3% |
| 紫 | 2 | 6.7% |
Random letter · English
n = 30 · H = 0.95 bit · uniform baseline 4.70 bit
| Answer | Count | Share |
|---|---|---|
| k | 19 | 63.3% |
| m | 11 | 36.7% |
Random number 1-10 · English
n = 30 · H = 0.00 bit · uniform baseline 3.32 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 30 | 100.0% |
Random number 1-10 · Chinese
n = 30 · H = 0.00 bit · uniform baseline 3.32 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 30 | 100.0% |
Random number 1-100 · English
n = 30 · H = 0.92 bit · uniform baseline 6.64 bit
| Answer | Count | Share |
|---|---|---|
| 47 | 20 | 66.7% |
| 42 | 10 | 33.3% |
Random number 1-100 · Chinese
n = 30 · H = 1.18 bit · uniform baseline 6.64 bit
| Answer | Count | Share |
|---|---|---|
| 42 | 15 | 50.0% |
| 47 | 14 | 46.7% |
| 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.