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Qwen: Qwen3.8 2.4T A95B

qwen/qwen3.8-2.4t-a95b · Alibaba (Qwen)Declared and measured agree
Tokenizer lineage (measured)
Qwen
Declared tokenizer tag
Qwen
Entered catalogue
12 August 2026
Last tested
5 October 2026
Evidence confidence
High

Why high: an exact fingerprint shared with 21 models that declare the same family, without a second signal of a different kind yet.

Evidence
  • ✓ exact tokenizer signature shared with 21 models

Identity statement

Qwen: Qwen3.8 2.4T A95B 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 upA combination of settings no other listing in the catalogue usesapi_72098644
How much it can read and writeReads up to 1,048,576 tokens at once, writes up to 131,072its own listing
Whether it thinks before answeringAlways reasons, and cannot be turned off, at xhigh, medium, low, xhigh by defaultits own listing
Who served our requestsVenicewe measured it, 5 October 2026
Measured twiceThe 5 October 2026 reading agreed with the 3 September 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

Closest measured models

Agreement across the mutually clean test strings

Click a row to open the full comparison.

The measured fingerprint

What each test string cost this model, in tokens

We sent Qwen: Qwen3.8 2.4T A95B 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: 52 prompt tokens.

Declared record

What the catalogue claims about this model

Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...

Modalities
text->text
Declared tokenizer
Qwen
Prompt price
$2.00 / M tokens
Completion price
$6.00 / M tokens

Supported parameters

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p

defaults: {"temperature":1,"top_p":0.95,"top_k":20}

Catalogue entryWeights on Hugging Face

History

Every observation, kept as taken
  • 12 August 2026Enters the OpenRouter catalogue declared as Qwen.
  • 3 September 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, high confidence.