Claude Sonnet 4.6 Behavioral Fingerprint

How Anthropic's Claude Sonnet 4.6 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

10 / 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

17 / 30 answers

Favorite color

blue

30 / 30 answers

Coin flip: heads

97%

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 = 0.35 bit · uniform baseline 1.00 bit

AnswerCountShare
heads2893.3%
tails26.7%

Coin flip · Chinese

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

AnswerCountShare
heads30100.0%

Favorite number · English

n = 30 · H = 0.78 bit · uniform baseline 13.29 bit

AnswerCountShare
422376.7%
7723.3%

Favorite number · Chinese

n = 30 · H = 0.00 bit · uniform baseline 13.29 bit

AnswerCountShare
730100.0%

Random animal · English

n = 30 · H = 0.85 bit · uniform baseline 5.64 bit

AnswerCountShare
elephant2480.0%
giraffe516.7%
capybara13.3%

Random animal · Chinese

n = 30 · H = 1.31 bit · uniform baseline 5.64 bit

AnswerCountShare
狐狸2170.0%
熊猫516.7%
斑马26.7%
企鹅26.7%

Random city · English

n = 30 · H = 0.00 bit · uniform baseline 5.64 bit

AnswerCountShare
tokyo30100.0%

Random city · Chinese

n = 30 · H = 0.00 bit · uniform baseline 5.64 bit

AnswerCountShare
成都30100.0%

Random color · English

n = 30 · H = 0.00 bit · uniform baseline 4.91 bit

AnswerCountShare
blue30100.0%

Random color · Chinese

n = 30 · H = 0.95 bit · uniform baseline 4.91 bit

AnswerCountShare
1963.3%
1136.7%

Random letter · English

n = 30 · H = 0.97 bit · uniform baseline 4.70 bit

AnswerCountShare
k1860.0%
m1240.0%

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 = 30 · H = 0.00 bit · uniform baseline 3.32 bit

AnswerCountShare
730100.0%

Random number 1-100 · English

n = 30 · H = 0.99 bit · uniform baseline 6.64 bit

AnswerCountShare
471756.7%
421343.3%

Random number 1-100 · Chinese

n = 30 · H = 0.65 bit · uniform baseline 6.64 bit

AnswerCountShare
472583.3%
42516.7%

Want to verify your API really serves Claude Sonnet 4.6?

Point the free fingerprint checker at your endpoint: it samples the same probe questions from your browser and compares the distributions against this reference. Your API key never leaves your browser.

Verify your endpoint

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

More Anthropic model fingerprints

Browse all 167 model fingerprints

Claude Sonnet 4.6 Behavioral Fingerprint — Favorite Random Numbers & Distribution | Tosea.ai