GPT-4o-mini (2024-07-18) Behavioral Fingerprint
How OpenAI's GPT-4o-mini (2024-07-18) 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
OpenAI
Data generated
2026-07-08
Probe cells
15
Valid samples
450
Randomness score
22 / 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)
57
22 / 30 answers
Favorite color
turquoise
16 / 30 answers
Coin flip: heads
83%
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 = 0.92 bit · uniform baseline 1.00 bit
| Answer | Count | Share |
|---|---|---|
| heads | 20 | 66.7% |
| tails | 10 | 33.3% |
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 = 0.47 bit · uniform baseline 13.29 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 27 | 90.0% |
| 42 | 3 | 10.0% |
Favorite number · Chinese
n = 30 · H = 0.00 bit · uniform baseline 13.29 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 30 | 100.0% |
Random animal · English
n = 30 · H = 2.54 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| giraffe | 9 | 30.0% |
| elephant | 7 | 23.3% |
| kangaroo | 4 | 13.3% |
| penguin | 4 | 13.3% |
| dolphin | 3 | 10.0% |
| panda | 2 | 6.7% |
| octopus | 1 | 3.3% |
Random animal · Chinese
n = 30 · H = 2.64 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| 海豚 | 14 | 46.7% |
| 猫 | 4 | 13.3% |
| 大象 | 3 | 10.0% |
| 狮子 | 2 | 6.7% |
| 狐狸 | 1 | 3.3% |
| 鲸鱼 | 1 | 3.3% |
| 鸵鸟 | 1 | 3.3% |
| 鹦鹉 | 1 | 3.3% |
+ 3 more answers
Random city · English
n = 30 · H = 1.31 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| tokyo | 23 | 76.7% |
| paris | 2 | 6.7% |
| madrid | 2 | 6.7% |
| oslo | 1 | 3.3% |
| vienna | 1 | 3.3% |
| berlin | 1 | 3.3% |
Random city · Chinese
n = 30 · H = 0.88 bit · uniform baseline 5.64 bit
| Answer | Count | Share |
|---|---|---|
| 东京 | 25 | 83.3% |
| 巴黎 | 3 | 10.0% |
| 伦敦 | 1 | 3.3% |
| 悉尼 | 1 | 3.3% |
Random color · English
n = 30 · H = 1.34 bit · uniform baseline 4.91 bit
| Answer | Count | Share |
|---|---|---|
| turquoise | 16 | 53.3% |
| cerulean | 12 | 40.0% |
| azure | 1 | 3.3% |
| cyan | 1 | 3.3% |
Random color · Chinese
n = 30 · H = 0.00 bit · uniform baseline 4.91 bit
| Answer | Count | Share |
|---|---|---|
| 蓝 | 30 | 100.0% |
Random letter · English
n = 30 · H = 2.06 bit · uniform baseline 4.70 bit
| Answer | Count | Share |
|---|---|---|
| g | 10 | 33.3% |
| q | 9 | 30.0% |
| k | 6 | 20.0% |
| m | 4 | 13.3% |
| r | 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 = 0.00 bit · uniform baseline 3.32 bit
| Answer | Count | Share |
|---|---|---|
| 7 | 30 | 100.0% |
Random number 1-100 · English
n = 30 · H = 1.24 bit · uniform baseline 6.64 bit
| Answer | Count | Share |
|---|---|---|
| 57 | 22 | 73.3% |
| 47 | 4 | 13.3% |
| 37 | 2 | 6.7% |
| 42 | 2 | 6.7% |
Random number 1-100 · Chinese
n = 30 · H = 1.01 bit · uniform baseline 6.64 bit
| Answer | Count | Share |
|---|---|---|
| 57 | 24 | 80.0% |
| 47 | 3 | 10.0% |
| 42 | 2 | 6.7% |
| 37 | 1 | 3.3% |
Want to verify your API really serves GPT-4o-mini (2024-07-18)?
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.