Qwen3.5-122B-A10B Behavioral Fingerprint
How Qwen's Qwen3.5-122B-A10B 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
Qwen
Data generated
2026-07-08
Probe cells
15
Valid samples
450
Randomness score
21 / 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
27 / 30 answers
Favorite color
blue
23 / 30 answers
Coin flip: heads
92%
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 = 0.65 bit · uniform baseline 1.00 bit
| Answer | Count | Share |
|---|---|---|
| heads | 25 | 83.3% |
| tails | 5 | 16.7% |
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 = 0.88 bit · uniform baseline 13.29 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 21 | 70.0% |
| 42 | 9 | 30.0% |
Favorite number · Chinese
n = 30 · H = 0.47 bit · uniform baseline 13.29 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 27 | 90.0% |
| 42 | 3 | 10.0% |
Random animal · English
n = 30 · H = 2.44 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| elephant | 12 | 40.0% |
| cat | 6 | 20.0% |
| lion | 3 | 10.0% |
| fox | 3 | 10.0% |
| pangolin | 2 | 6.7% |
| otter | 2 | 6.7% |
| dog | 2 | 6.7% |
Random animal · Chinese
n = 30 · H = 2.11 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| 熊猫 | 10 | 33.3% |
| 猫 | 10 | 33.3% |
| 企鹅 | 6 | 20.0% |
| 狐狸 | 2 | 6.7% |
| 斑马 | 1 | 3.3% |
| 狗 | 1 | 3.3% |
Random city · English
n = 30 · H = 1.64 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| tokyo | 17 | 56.7% |
| paris | 9 | 30.0% |
| kyoto | 1 | 3.3% |
| osaka | 1 | 3.3% |
| toronto | 1 | 3.3% |
| oslo | 1 | 3.3% |
Random city · Chinese
n = 30 · H = 1.84 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| 巴黎 | 16 | 53.3% |
| 东京 | 8 | 26.7% |
| 纽约 | 2 | 6.7% |
| 上海 | 2 | 6.7% |
| 伦敦 | 1 | 3.3% |
| 悉尼 | 1 | 3.3% |
Random color · English
n = 30 · H = 1.21 bit · uniform baseline 4.91 bit
| Answer | Count | Share |
|---|---|---|
| blue | 23 | 76.7% |
| green | 3 | 10.0% |
| purple | 2 | 6.7% |
| teal | 1 | 3.3% |
| red | 1 | 3.3% |
Random color · Chinese
n = 30 · H = 0.98 bit · uniform baseline 4.91 bit
| Answer | Count | Share |
|---|---|---|
| 蓝 | 22 | 73.3% |
| 红 | 7 | 23.3% |
| 绿 | 1 | 3.3% |
Random letter · English
n = 30 · H = 1.86 bit · uniform baseline 4.70 bit
| Answer | Count | Share |
|---|---|---|
| q | 14 | 46.7% |
| k | 11 | 36.7% |
| r | 1 | 3.3% |
| x | 1 | 3.3% |
| g | 1 | 3.3% |
| z | 1 | 3.3% |
| m | 1 | 3.3% |
Random number 1-10 · English
n = 30 · H = 0.21 bit · uniform baseline 3.32 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 29 | 96.7% |
| 4 | 1 | 3.3% |
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 = 0.56 bit · uniform baseline 6.64 bit
| Answer | Count | Share |
|---|---|---|
| 42 | 27 | 90.0% |
| 73 | 2 | 6.7% |
| 37 | 1 | 3.3% |
Random number 1-100 · Chinese
n = 30 · H = 0.00 bit · uniform baseline 6.64 bit
| Answer | Count | Share |
|---|---|---|
| 42 | 30 | 100.0% |
Want to verify your API really serves Qwen3.5-122B-A10B?
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 endpointData 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.