Nova Premier 1.0 Behavioral Fingerprint
How Amazon's Nova Premier 1.0 answers one-word probe questions at temperature 1.0 — random numbers, colors, animals, coin flips — measured over 446 valid samples in the open dataset of "One Token Is Enough" (arXiv:2607.10252).
Vendor
Amazon
Data generated
2026-07-08
Probe cells
15
Valid samples
446
Randomness score
41 / 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
7 / 30 answers
Favorite color
blue
27 / 30 answers
Coin flip: heads
68%
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 = 28 · H = 0.91 bit · uniform baseline 1.00 bit
| Answer | Count | Share |
|---|---|---|
| heads | 19 | 67.9% |
| tails | 9 | 32.1% |
Coin flip · Chinese
n = 28 · H = 0.91 bit · uniform baseline 1.00 bit
| Answer | Count | Share |
|---|---|---|
| heads | 19 | 67.9% |
| tails | 9 | 32.1% |
Favorite number · English
n = 30 · H = 0.67 bit · uniform baseline 13.29 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 26 | 86.7% |
| 42 | 3 | 10.0% |
| 5 | 1 | 3.3% |
Favorite number · Chinese
n = 30 · H = 0.35 bit · uniform baseline 13.29 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 28 | 93.3% |
| 8 | 2 | 6.7% |
Random animal · English
n = 30 · H = 1.34 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| elephant | 16 | 53.3% |
| giraffe | 12 | 40.0% |
| zebra | 1 | 3.3% |
| kangaroo | 1 | 3.3% |
Random animal · Chinese
n = 30 · H = 2.37 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| 狮子 | 14 | 46.7% |
| 老虎 | 4 | 13.3% |
| 大象 | 4 | 13.3% |
| 猫 | 3 | 10.0% |
| 熊猫 | 2 | 6.7% |
| 鸟类 | 1 | 3.3% |
| 虎 | 1 | 3.3% |
| 马 | 1 | 3.3% |
Random city · English
n = 30 · H = 2.77 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| paris | 14 | 46.7% |
| sydney | 3 | 10.0% |
| detroit | 2 | 6.7% |
| chicago | 2 | 6.7% |
| london | 2 | 6.7% |
| madrid | 1 | 3.3% |
| los | 1 | 3.3% |
| seattle | 1 | 3.3% |
+ 4 more answers
Random city · Chinese
n = 30 · H = 0.21 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| 北京 | 29 | 96.7% |
| 纽约 | 1 | 3.3% |
Random color · English
n = 30 · H = 0.63 bit · uniform baseline 4.91 bit
| Answer | Count | Share |
|---|---|---|
| blue | 27 | 90.0% |
| red | 1 | 3.3% |
| brown | 1 | 3.3% |
| yellow | 1 | 3.3% |
Random color · Chinese
n = 30 · H = 1.64 bit · uniform baseline 4.91 bit
| Answer | Count | Share |
|---|---|---|
| 红 | 13 | 43.3% |
| 蓝 | 12 | 40.0% |
| 黄 | 3 | 10.0% |
| 绿 | 2 | 6.7% |
Random letter · English
n = 30 · H = 2.79 bit · uniform baseline 4.70 bit
| Answer | Count | Share |
|---|---|---|
| z | 12 | 40.0% |
| k | 5 | 16.7% |
| q | 3 | 10.0% |
| f | 2 | 6.7% |
| x | 2 | 6.7% |
| e | 1 | 3.3% |
| l | 1 | 3.3% |
| j | 1 | 3.3% |
+ 3 more answers
Random number 1-10 · English
n = 30 · H = 1.47 bit · uniform baseline 3.32 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 18 | 60.0% |
| 5 | 8 | 26.7% |
| 3 | 2 | 6.7% |
| 6 | 2 | 6.7% |
Random number 1-10 · Chinese
n = 30 · H = 1.91 bit · uniform baseline 3.32 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 15 | 50.0% |
| 5 | 7 | 23.3% |
| 3 | 3 | 10.0% |
| 6 | 3 | 10.0% |
| 8 | 2 | 6.7% |
Random number 1-100 · English
n = 30 · H = 3.13 bit · uniform baseline 6.64 bit
| Answer | Count | Share |
|---|---|---|
| 42 | 7 | 23.3% |
| 47 | 7 | 23.3% |
| 56 | 4 | 13.3% |
| 37 | 2 | 6.7% |
| 73 | 2 | 6.7% |
| 78 | 2 | 6.7% |
| 34 | 1 | 3.3% |
| 43 | 1 | 3.3% |
+ 4 more answers
Random number 1-100 · Chinese
n = 30 · H = 3.15 bit · uniform baseline 6.64 bit
| Answer | Count | Share |
|---|---|---|
| 42 | 7 | 23.3% |
| 47 | 6 | 20.0% |
| 56 | 6 | 20.0% |
| 37 | 2 | 6.7% |
| 23 | 1 | 3.3% |
| 27 | 1 | 3.3% |
| 32 | 1 | 3.3% |
| 34 | 1 | 3.3% |
+ 5 more answers
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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.