Kimi K2 0905 Behavioral Fingerprint
How MoonshotAI's Kimi K2 0905 answers one-word probe questions at temperature 1.0 — random numbers, colors, animals, coin flips — measured over 445 valid samples in the open dataset of "One Token Is Enough" (arXiv:2607.10252).
Vendor
MoonshotAI
Data generated
2026-07-08
Probe cells
15
Valid samples
445
Randomness score
32 / 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
14 / 29 answers
Favorite color
magenta
9 / 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 = 29 · H = 0.22 bit · uniform baseline 1.00 bit
| Answer | Count | Share |
|---|---|---|
| heads | 28 | 96.6% |
| tails | 1 | 3.4% |
Coin flip · Chinese
n = 30 · H = 0.21 bit · uniform baseline 1.00 bit
| Answer | Count | Share |
|---|---|---|
| heads | 29 | 96.7% |
| tails | 1 | 3.3% |
Favorite number · English
n = 29 · H = 1.27 bit · uniform baseline 13.29 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 20 | 69.0% |
| 42 | 6 | 20.7% |
| 17 | 2 | 6.9% |
| 9 | 1 | 3.4% |
Favorite number · Chinese
n = 30 · H = 1.21 bit · uniform baseline 13.29 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 23 | 76.7% |
| 42 | 3 | 10.0% |
| 9 | 2 | 6.7% |
| 0 | 1 | 3.3% |
| 8 | 1 | 3.3% |
Random animal · English
n = 30 · H = 2.39 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| elephant | 8 | 26.7% |
| octopus | 7 | 23.3% |
| platypus | 6 | 20.0% |
| axolotl | 5 | 16.7% |
| aardvark | 3 | 10.0% |
| otter | 1 | 3.3% |
Random animal · Chinese
n = 29 · H = 3.15 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| 企鹅 | 8 | 27.6% |
| 猫 | 6 | 20.7% |
| 狐狸 | 2 | 6.9% |
| 虎 | 2 | 6.9% |
| 长颈鹿 | 2 | 6.9% |
| 犰狳 | 2 | 6.9% |
| 猫头鹰 | 2 | 6.9% |
| 老虎 | 1 | 3.4% |
+ 4 more answers
Random city · English
n = 29 · H = 3.94 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| lisbon | 4 | 13.8% |
| kyoto | 4 | 13.8% |
| osaka | 3 | 10.3% |
| oslo | 2 | 6.9% |
| baku | 2 | 6.9% |
| bishkek | 2 | 6.9% |
| seoul | 1 | 3.4% |
| tashkent | 1 | 3.4% |
+ 10 more answers
Random city · Chinese
n = 30 · H = 2.99 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| 杭州 | 10 | 33.3% |
| 成都 | 6 | 20.0% |
| 上海 | 3 | 10.0% |
| 乌兰巴托 | 2 | 6.7% |
| 塔什干 | 2 | 6.7% |
| 巴塞罗那 | 1 | 3.3% |
| 里斯本 | 1 | 3.3% |
| 瓦伦西亚 | 1 | 3.3% |
+ 4 more answers
Random color · English
n = 30 · H = 2.60 bit · uniform baseline 4.91 bit
| Answer | Count | Share |
|---|---|---|
| magenta | 9 | 30.0% |
| teal | 8 | 26.7% |
| cyan | 4 | 13.3% |
| azure | 3 | 10.0% |
| cerulean | 2 | 6.7% |
| mauve | 2 | 6.7% |
| amber | 1 | 3.3% |
| aubergine | 1 | 3.3% |
Random color · Chinese
n = 30 · H = 2.23 bit · uniform baseline 4.91 bit
| Answer | Count | Share |
|---|---|---|
| 靛蓝 | 17 | 56.7% |
| 青 | 3 | 10.0% |
| 紫 | 2 | 6.7% |
| 靛青 | 2 | 6.7% |
| 蓝 | 2 | 6.7% |
| 紫罗兰 | 1 | 3.3% |
| 青柠 | 1 | 3.3% |
| 赭石 | 1 | 3.3% |
+ 1 more answers
Random letter · English
n = 30 · H = 2.00 bit · uniform baseline 4.70 bit
| Answer | Count | Share |
|---|---|---|
| q | 16 | 53.3% |
| x | 5 | 16.7% |
| k | 5 | 16.7% |
| j | 1 | 3.3% |
| z | 1 | 3.3% |
| r | 1 | 3.3% |
| m | 1 | 3.3% |
Random number 1-10 · English
n = 30 · H = 0.00 bit · uniform baseline 3.32 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 30 | 100.0% |
Random number 1-10 · Chinese
n = 30 · H = 0.21 bit · uniform baseline 3.32 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 29 | 96.7% |
| 6 | 1 | 3.3% |
Random number 1-100 · English
n = 29 · H = 1.78 bit · uniform baseline 6.64 bit
| Answer | Count | Share |
|---|---|---|
| 47 | 14 | 48.3% |
| 73 | 7 | 24.1% |
| 42 | 5 | 17.2% |
| 37 | 3 | 10.3% |
Random number 1-100 · Chinese
n = 30 · H = 1.70 bit · uniform baseline 6.64 bit
| Answer | Count | Share |
|---|---|---|
| 73 | 15 | 50.0% |
| 47 | 8 | 26.7% |
| 42 | 5 | 16.7% |
| 37 | 2 | 6.7% |
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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.