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Models · Kimi

Kimi K2.6

Asked for a few hundred random integers, Kimi K2.6 does not pick evenly. This page is the shape of that preference, built from 36 recorded answers containing 14513 numbers, and it is what the identify tool compares a pasted reply against.

Check a chat that claims to be Kimi K2.6

Bank id
kimi-k2.6@cloudflare
Family
Kimi
Collected through
Cloudflare Workers AI
Collected on
2026-09-17
Status
Collected by this project
Distinct values used
355 of 355
Prompt environments
12 of 12

Capability and price

Sold by
Moonshot AI
Intelligence index
27 · v4.3.2, scored as default
Index rank
Not ranked — the index marks this configuration superseded by Kimi K3.
Input, per 1M tokens
0.95
Output, per 1M tokens
4.00
Blended, per 1M tokens
1.71
Price rank
Not ranked
Context window
256,000 tokens

Read on 2026-09-23, not measured here: index page · price page

Distribution

1 355
How often Kimi K2.6 chose each number from 1 to 355

Every bar is one value from 1 to 355; its height is how many times the model chose it across all recorded answers. A perfectly random picker would give a flat line. Nothing in the bank does.

Favourite numbers

NumberTimes chosenShare
14740.51%
58690.48%
44680.47%
64680.47%
95680.47%
19670.46%
28670.46%
198670.46%
17660.45%
57660.45%
78650.45%
38630.43%

How reliably it is recognised

In held-out testing across all twelve prompt environments, 8 of 12 three-answer runs named this model with a clear margin, 0 were close calls inside its family, 4 had only a weak match, and 0 named a different model with a clear margin.

With this model removed from the bank and its own answers scored against the rest, 0 of 12 runs still named another model with a clear margin, 0 were close calls inside the family, and 12 had only a weak match. Its answers landed most often on Claude Haiku 4.5 (4 of 12). That is the number to keep in mind if you are testing a version that is not listed here.

Fresh holdout on the site's nine prompts. At release the page's API input path admitted 6/9 original replies, because two JSON-array replies contained a few values above 355 and one reply (query-17) mixed several code blocks with prose. Since the 2026-09-18 input update such arrays are read like any other reply, with out-of-range values ignored, and the page admits 8/9: top-1/Clear 8/9 and 5/9, and 3/3 and 2/3 for the three environment groups, the JSON group using two of three replies. Query-17 is still refused. No input was repaired or resampled; three prompt groups do not establish independent cross-provider coverage.

Both measurements count the status the site attaches to the first-ranked model, not the bare ranking alone. The methodology page explains how they were made and what they leave out.