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AI Desk · AI Fingerprinting

Qwen: Qwen3.6 Flash

qwen/qwen3.6-flash · Alibaba (Qwen)Declared and measured agree
Tokenizer lineage (measured)
Qwen
Declared tokenizer tag
Qwen3
Entered catalogue
27 April 2026
Last tested
5 October 2026
Evidence confidence
Very high

Why very high: an exact fingerprint shared with 21 models and an identical API contract inside the same group: two signals of different kinds agree.

Evidence
  • ✓ exact tokenizer signature shared with 21 models
  • ✓ API-surface contract identical to a group member
Compare with Qwen: Qwen3.8 Max Prime

Report a correction

Identity statement

Qwen: Qwen3.6 Flash is Alibaba (Qwen)'s model. Its measured tokenizer sits with the Qwen group, which is evidence that it builds on the Qwen tokenizer. Tokenizer reuse is normal engineering, open vocabularies travel between labs, and this says nothing against Alibaba (Qwen)'s authorship of the model itself.

What we checked

Four different kinds of evidence, and what each one showed
We checkedWhat we foundWhere it came from
How it counts tokensCounts every one of the 50 test strings exactly like 21 other modelstk_181907f2
How its API is set upSet up identically to 1 other listing, field for fieldapi_1584b07a
How much it can read and writeReads up to 1,000,000 tokens at once, writes up to 65,536its own listing
Whether it thinks before answeringReasons when asked toits own listing
Who served our requestsAlibabawe measured it, 5 October 2026
Measured twiceThe 5 October 2026 reading agreed with the 21 August 2026 reading on every one of the 50 strings clean in both: the tokenizer behind this name held.50/50 agree

Shares this fingerprint

Exact signature first; template-boundary shifts of the same signature beneath
Nex AGI: Nex-N2-Mininex-agi/nex-n2-miniexact · 50/50Nex AGI: Nex-N2-Pronex-agi/nex-n2-proexact · 50/50Nex AGI: Nex-N2.5-Mininex-agi/nex-n2.5-miniexact · 50/50PrismML: Ternary Bonsai 2 27Bprism-ml/ternary-bonsai-2-27bexact · 50/50Qwen: Qwen3.5-27Bqwen/qwen3.5-27bexact · 50/50Qwen: Qwen3.5-35B-A3Bqwen/qwen3.5-35b-a3bexact · 50/50Qwen: Qwen3.5 397B A17Bqwen/qwen3.5-397b-a17bexact · 50/50Qwen: Qwen3.5-9Bqwen/qwen3.5-9bexact · 50/50Qwen: Qwen3.5-Flashqwen/qwen3.5-flash-02-23exact · 50/50Qwen: Qwen3.5 Plus 2026-02-15qwen/qwen3.5-plus-02-15exact · 50/50Qwen: Qwen3.5 Plus 2026-04-20qwen/qwen3.5-plus-20260420exact · 50/50Qwen: Qwen3.6 Max Previewqwen/qwen3.6-max-previewexact · 50/50Qwen: Qwen3.6 Plusqwen/qwen3.6-plusexact · 50/50Qwen: Qwen3.7 Flashqwen/qwen3.7-flashexact · 50/50Qwen: Qwen3.7 Maxqwen/qwen3.7-maxexact · 50/50Qwen: Qwen3.7 Plusqwen/qwen3.7-plusexact · 50/50Qwen: Qwen3.8 2.4T A95Bqwen/qwen3.8-2.4t-a95bexact · 50/50Qwen: Qwen3.8 Flashqwen/qwen3.8-flashexact · 50/50Qwen: Qwen3.8 Maxqwen/qwen3.8-maxexact · 50/50Qwen: Qwen3.8 Max (0902)qwen/qwen3.8-max-0902exact · 50/50Qwen: Qwen3.8 Max Primeqwen/qwen3.8-max-primeexact · 50/50Morph: Morph V3 Largemorph/morph-v3-largesame tokenizer · template shiftPerceptron: Perceptron Mk1perceptron/perceptron-mk1same tokenizer · template shiftPerceptron: Perceptron Mk1.5perceptron/perceptron-mk1.5same tokenizer · template shift

Closest measured models

Agreement across the mutually clean test strings
Nex AGI: Nex-N2-Mininex-agi/nex-n2-mini50/50 · 100%Qwen: Qwen3.7 Flashqwen/qwen3.7-flash50/50 · 100%Qwen: Qwen3.5-Flashqwen/qwen3.5-flash-02-2350/50 · 100%Qwen: Qwen3.5-9Bqwen/qwen3.5-9b50/50 · 100%Qwen: Qwen3.5-27Bqwen/qwen3.5-27b50/50 · 100%Nex AGI: Nex-N2-Pronex-agi/nex-n2-pro50/50 · 100%

Click a row to open the full comparison.

The measured fingerprint

What each test string cost this model, in tokens

We sent Qwen: Qwen3.6 Flash fifty short pieces of text and recorded what each one cost it in tokens. The bars below are those costs. Two models built on the same tokenizer produce the same bars; a model built on a different one produces a different set, which is what makes this a fingerprint.

All 50 rows

English and whitespace

en-prose14
en-long16
spaces-203
spaces-603
tabs-203
newlines-204
mixed-ws5

Digits

digits-99
digits-1212
digits-3030
digits-sep12
float-long22

CJK

zh-common9
zh-long10
zh-rare18
ja-kana7
ja-kanji10
ko13

Other scripts

ru12
ar10
he14
hi15
th8
el13

Emoji

emoji-basic9
emoji-skin30
emoji-zwj-family18
emoji-zwj-x354
emoji-flags24
emoji-prof29

Rare Unicode

math29
boxdraw28
combining5
cjk-ext-b13
surrogates40
zalgo36
rtl-mix6

Code

py-code26
py-indent18
json25
html16
regex44
camel5
snake6

Repetition and encodings

rare-word-x530
repeat-tok21
base6436
hex17
url19
uuid36

Overhead subtracted: 10 prompt tokens.

Declared record

What the catalogue claims about this model

Qwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window. Tiered pricing kicks in...

Modalities
text+image+video->text
Declared tokenizer
Qwen3
Prompt price
$0.19 / M tokens
Completion price
$1.13 / M tokens

Supported parameters

frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p

defaults: {}

Catalogue entry

History

Every observation, kept as taken
  • 27 April 2026Enters the OpenRouter catalogue declared as Qwen3.
  • 21 August 2026Fingerprinted in the YFarmX catalogue sweep · 50 of 50 strings measured clean.
  • 5 October 2026Fingerprinted again, to check the reading held · 50 of 50 strings measured clean.
  • 5 October 2026YFarmX assessment: consistent with the Qwen family, very high confidence.