Llama 4 Scout Behavioral Fingerprint
How Meta's Llama 4 Scout answers one-word probe questions at temperature 1.0 — random numbers, colors, animals, coin flips — measured over 425 valid samples in the open dataset of "One Token Is Enough" (arXiv:2607.10252).
Vendor
Meta
Data generated
2026-07-08
Probe cells
15
Valid samples
425
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)
53
27 / 27 answers
Favorite color
turquoise
27 / 29 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 = 28 · H = 0.00 bit · uniform baseline 1.00 bit
| Answer | Count | Share |
|---|---|---|
| heads | 28 | 100.0% |
Coin flip · Chinese
n = 28 · H = 0.22 bit · uniform baseline 1.00 bit
| Answer | Count | Share |
|---|---|---|
| heads | 27 | 96.4% |
| tails | 1 | 3.6% |
Favorite number · English
n = 28 · H = 0.00 bit · uniform baseline 13.29 bit
| Answer | Count | Share |
|---|---|---|
| 42 | 28 | 100.0% |
Favorite number · Chinese
n = 30 · H = 0.00 bit · uniform baseline 13.29 bit
| Answer | Count | Share |
|---|---|---|
| 42 | 30 | 100.0% |
Random animal · English
n = 30 · H = 0.21 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| kangaroo | 29 | 96.7% |
| angaroo | 1 | 3.3% |
Random animal · Chinese
n = 30 · H = 2.39 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| 树懒 | 15 | 50.0% |
| 长颈鹿 | 4 | 13.3% |
| 水母 | 3 | 10.0% |
| 袋鼠 | 2 | 6.7% |
| 企鹅 | 2 | 6.7% |
| 鹿 | 1 | 3.3% |
| 章鱼 | 1 | 3.3% |
| 考拉 | 1 | 3.3% |
+ 1 more answers
Random city · English
n = 30 · H = 0.21 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| perth | 29 | 96.7% |
| th | 1 | 3.3% |
Random city · Chinese
n = 26 · H = 0.00 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| 札幌 | 26 | 100.0% |
Random color · English
n = 29 · H = 0.36 bit · uniform baseline 4.91 bit
| Answer | Count | Share |
|---|---|---|
| turquoise | 27 | 93.1% |
| quoise | 2 | 6.9% |
Random color · Chinese
n = 30 · H = 1.89 bit · uniform baseline 4.91 bit
| Answer | Count | Share |
|---|---|---|
| 紫 | 16 | 53.3% |
| 青绿 | 7 | 23.3% |
| 蓝 | 3 | 10.0% |
| 靛蓝 | 2 | 6.7% |
| 色 | 1 | 3.3% |
| 蓝绿 | 1 | 3.3% |
Random letter · English
n = 29 · H = 0.00 bit · uniform baseline 4.70 bit
| Answer | Count | Share |
|---|---|---|
| k | 29 | 100.0% |
Random number 1-10 · English
n = 28 · H = 0.00 bit · uniform baseline 3.32 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 28 | 100.0% |
Random number 1-10 · Chinese
n = 26 · H = 0.24 bit · uniform baseline 3.32 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 25 | 96.2% |
| 5 | 1 | 3.8% |
Random number 1-100 · English
n = 27 · H = 0.00 bit · uniform baseline 6.64 bit
| Answer | Count | Share |
|---|---|---|
| 53 | 27 | 100.0% |
Random number 1-100 · Chinese
n = 26 · H = 1.91 bit · uniform baseline 6.64 bit
| Answer | Count | Share |
|---|---|---|
| 42 | 15 | 57.7% |
| 27 | 4 | 15.4% |
| 14 | 2 | 7.7% |
| 43 | 2 | 7.7% |
| 53 | 2 | 7.7% |
| 47 | 1 | 3.8% |
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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.