Kimi K2.6 Behavioral Fingerprint
How MoonshotAI's Kimi K2.6 answers one-word probe questions at temperature 1.0 — random numbers, colors, animals, coin flips — measured over 434 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
434
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)
37
12 / 30 answers
Favorite color
magenta
9 / 27 answers
Coin flip: heads
93%
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 = 0.21 bit · uniform baseline 1.00 bit
| Answer | Count | Share |
|---|---|---|
| heads | 29 | 96.7% |
| tails | 1 | 3.3% |
Coin flip · Chinese
n = 30 · H = 0.47 bit · uniform baseline 1.00 bit
| Answer | Count | Share |
|---|---|---|
| heads | 27 | 90.0% |
| tails | 3 | 10.0% |
Favorite number · English
n = 29 · H = 1.14 bit · uniform baseline 13.29 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 21 | 72.4% |
| 42 | 6 | 20.7% |
| 4 | 1 | 3.4% |
| 8 | 1 | 3.4% |
Favorite number · Chinese
n = 29 · H = 0.36 bit · uniform baseline 13.29 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 27 | 93.1% |
| 42 | 2 | 6.9% |
Random animal · English
n = 29 · H = 2.61 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| platypus | 9 | 31.0% |
| axolotl | 8 | 27.6% |
| octopus | 4 | 13.8% |
| aardvark | 3 | 10.3% |
| elephant | 1 | 3.4% |
| ocelot | 1 | 3.4% |
| giraffe | 1 | 3.4% |
| jaguar | 1 | 3.4% |
+ 1 more answers
Random animal · Chinese
n = 30 · H = 3.76 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| 长颈鹿 | 7 | 23.3% |
| 老虎 | 3 | 10.0% |
| 虎 | 2 | 6.7% |
| 猫 | 2 | 6.7% |
| 穿山甲 | 2 | 6.7% |
| 狮子 | 2 | 6.7% |
| 狐狸 | 2 | 6.7% |
| 海豚 | 1 | 3.3% |
+ 9 more answers
Random city · English
n = 25 · H = 3.26 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| bishkek | 9 | 36.0% |
| lviv | 2 | 8.0% |
| tashkent | 2 | 8.0% |
| vilnius | 2 | 8.0% |
| nairobi | 1 | 4.0% |
| osaka | 1 | 4.0% |
| portland | 1 | 4.0% |
| brest | 1 | 4.0% |
+ 6 more answers
Random city · Chinese
n = 30 · H = 2.30 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| 成都 | 11 | 36.7% |
| 杭州 | 9 | 30.0% |
| 上海 | 5 | 16.7% |
| 乌兰巴托 | 1 | 3.3% |
| 天津 | 1 | 3.3% |
| 哥本哈根 | 1 | 3.3% |
| 巴塞罗那 | 1 | 3.3% |
| 武汉 | 1 | 3.3% |
Random color · English
n = 27 · H = 2.84 bit · uniform baseline 4.91 bit
| Answer | Count | Share |
|---|---|---|
| magenta | 9 | 33.3% |
| teal | 5 | 18.5% |
| azure | 3 | 11.1% |
| cyan | 3 | 11.1% |
| crimson | 2 | 7.4% |
| purple | 1 | 3.7% |
| aquamarine | 1 | 3.7% |
| cerulean | 1 | 3.7% |
+ 2 more answers
Random color · Chinese
n = 30 · H = 1.83 bit · uniform baseline 4.91 bit
| Answer | Count | Share |
|---|---|---|
| 靛蓝 | 20 | 66.7% |
| 青 | 2 | 6.7% |
| 紫 | 2 | 6.7% |
| 靛青 | 2 | 6.7% |
| 靛蓝紫 | 1 | 3.3% |
| 赤 | 1 | 3.3% |
| 蓝 | 1 | 3.3% |
| 青碧 | 1 | 3.3% |
Random letter · English
n = 28 · H = 2.01 bit · uniform baseline 4.70 bit
| Answer | Count | Share |
|---|---|---|
| q | 14 | 50.0% |
| k | 6 | 21.4% |
| m | 3 | 10.7% |
| x | 3 | 10.7% |
| w | 1 | 3.6% |
| y | 1 | 3.6% |
Random number 1-10 · English
n = 29 · H = 0.00 bit · uniform baseline 3.32 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 29 | 100.0% |
Random number 1-10 · Chinese
n = 29 · H = 0.00 bit · uniform baseline 3.32 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 29 | 100.0% |
Random number 1-100 · English
n = 30 · H = 1.78 bit · uniform baseline 6.64 bit
| Answer | Count | Share |
|---|---|---|
| 37 | 12 | 40.0% |
| 47 | 10 | 33.3% |
| 73 | 6 | 20.0% |
| 42 | 2 | 6.7% |
Random number 1-100 · Chinese
n = 29 · H = 1.82 bit · uniform baseline 6.64 bit
| Answer | Count | Share |
|---|---|---|
| 73 | 16 | 55.2% |
| 37 | 4 | 13.8% |
| 42 | 4 | 13.8% |
| 47 | 4 | 13.8% |
| 7 | 1 | 3.4% |
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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.