Nova Micro 1.0 Behavioral Fingerprint
How Amazon's Nova Micro 1.0 answers one-word probe questions at temperature 1.0 — random numbers, colors, animals, coin flips — measured over 436 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
436
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)
73
10 / 30 answers
Favorite color
blue
8 / 30 answers
Coin flip: heads
95%
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
| Answer | Count | Share |
|---|---|---|
| heads | 28 | 93.3% |
| tails | 2 | 6.7% |
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 = 17 · H = 1.89 bit · uniform baseline 13.29 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 9 | 52.9% |
| 42 | 3 | 17.6% |
| 17 | 2 | 11.8% |
| 23 | 2 | 11.8% |
| 4 | 1 | 5.9% |
Favorite number · Chinese
n = 30 · H = 0.77 bit · uniform baseline 13.29 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 25 | 83.3% |
| 4 | 4 | 13.3% |
| 6 | 1 | 3.3% |
Random animal · English
n = 30 · H = 2.85 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| elephant | 11 | 36.7% |
| tiger | 7 | 23.3% |
| deer | 2 | 6.7% |
| whale | 2 | 6.7% |
| rabbit | 1 | 3.3% |
| shark | 1 | 3.3% |
| dog | 1 | 3.3% |
| snake | 1 | 3.3% |
+ 4 more answers
Random animal · Chinese
n = 30 · H = 3.14 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| 狮子 | 8 | 26.7% |
| 猫 | 6 | 20.0% |
| 鲨鱼 | 3 | 10.0% |
| 鸟 | 3 | 10.0% |
| 熊 | 2 | 6.7% |
| 老虎 | 2 | 6.7% |
| 鱼 | 1 | 3.3% |
| 袋鼯 | 1 | 3.3% |
+ 4 more answers
Random city · English
n = 30 · H = 3.42 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| paris | 8 | 26.7% |
| berlin | 4 | 13.3% |
| seattle | 3 | 10.0% |
| osaka | 2 | 6.7% |
| barcelona | 2 | 6.7% |
| bangkok | 2 | 6.7% |
| tokyo | 2 | 6.7% |
| mumbai | 1 | 3.3% |
+ 6 more answers
Random city · Chinese
n = 30 · H = 2.98 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| 巴黎 | 8 | 26.7% |
| 北京 | 6 | 20.0% |
| 悉尼 | 5 | 16.7% |
| 曼谷 | 3 | 10.0% |
| 雅典 | 2 | 6.7% |
| paris | 1 | 3.3% |
| 纽约 | 1 | 3.3% |
| 斯德哥尔摩 | 1 | 3.3% |
+ 3 more answers
Random color · English
n = 30 · H = 2.71 bit · uniform baseline 4.91 bit
| Answer | Count | Share |
|---|---|---|
| blue | 8 | 26.7% |
| purple | 7 | 23.3% |
| orange | 6 | 20.0% |
| yellow | 3 | 10.0% |
| red | 2 | 6.7% |
| gold | 1 | 3.3% |
| pink | 1 | 3.3% |
| turquoise | 1 | 3.3% |
+ 1 more answers
Random color · Chinese
n = 30 · H = 2.26 bit · uniform baseline 4.91 bit
| Answer | Count | Share |
|---|---|---|
| 红 | 13 | 43.3% |
| 蓝 | 7 | 23.3% |
| 绿 | 5 | 16.7% |
| 橙 | 1 | 3.3% |
| 黄 | 1 | 3.3% |
| 灰 | 1 | 3.3% |
| 紫 | 1 | 3.3% |
| 粉 | 1 | 3.3% |
Random letter · English
n = 30 · H = 2.98 bit · uniform baseline 4.70 bit
| Answer | Count | Share |
|---|---|---|
| x | 8 | 26.7% |
| z | 6 | 20.0% |
| g | 5 | 16.7% |
| q | 3 | 10.0% |
| k | 2 | 6.7% |
| r | 1 | 3.3% |
| v | 1 | 3.3% |
| t | 1 | 3.3% |
+ 3 more answers
Random number 1-10 · English
n = 30 · H = 1.70 bit · uniform baseline 3.32 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 19 | 63.3% |
| 5 | 5 | 16.7% |
| 3 | 2 | 6.7% |
| 8 | 2 | 6.7% |
| 4 | 1 | 3.3% |
| 6 | 1 | 3.3% |
Random number 1-10 · Chinese
n = 30 · H = 1.12 bit · uniform baseline 3.32 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 22 | 73.3% |
| 5 | 6 | 20.0% |
| 3 | 1 | 3.3% |
| 4 | 1 | 3.3% |
Random number 1-100 · English
n = 30 · H = 2.53 bit · uniform baseline 6.64 bit
| Answer | Count | Share |
|---|---|---|
| 73 | 10 | 33.3% |
| 42 | 7 | 23.3% |
| 57 | 5 | 16.7% |
| 74 | 3 | 10.0% |
| 43 | 2 | 6.7% |
| 47 | 1 | 3.3% |
| 49 | 1 | 3.3% |
| 97 | 1 | 3.3% |
Random number 1-100 · Chinese
n = 30 · H = 2.24 bit · uniform baseline 6.64 bit
| Answer | Count | Share |
|---|---|---|
| 42 | 15 | 50.0% |
| 73 | 6 | 20.0% |
| 56 | 2 | 6.7% |
| 57 | 2 | 6.7% |
| 75 | 2 | 6.7% |
| 53 | 1 | 3.3% |
| 67 | 1 | 3.3% |
| 74 | 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.