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AI Desk · AI Fingerprinting

Qwen: Qwen3 235B A22B Thinking 2507

qwen/qwen3-235b-a22b-thinking-2507 · Alibaba (Qwen)Declared and measured agree
Tokenizer lineage (measured)
Qwen
Declared tokenizer tag
Qwen3
Entered catalogue
25 July 2025
Last tested
21 August 2026
Evidence confidence
High

Why high: an exact fingerprint shared with 40 models that declare the same family, without a second signal of a different kind yet.

Evidence
  • ✓ exact tokenizer signature shared with 40 models
Compare with Qwen: Qwen3 Max Thinking

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Identity statement

Qwen: Qwen3 235B A22B Thinking 2507 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 40 other modelstk_5410b38e
How its API is set upA combination of settings no other listing in the catalogue usesapi_b8094ed3
How much it can read and writeReads up to 131,072 tokens at onceOpenRouter's listing shows 117,964 output tokens, which is 90% of the context window, the figure it carries where the provider declares no maximum.its own listing
Whether it thinks before answeringAlways reasons, and cannot be turned offits own listing
Who served our requestsNovitawe measured it, 21 August 2026

Shares this fingerprint

Exact signature first; template-boundary shifts of the same signature beneath
Magnum v4 72Banthracite-org/magnum-v4-72bexact · 50/50ByteDance: UI-TARS 7B bytedance/ui-tars-1.5-7bexact · 50/50Dots Studio: Dots3-Note Preview (free)dots-studio/dots-3-note-preview:freeexact · 50/50Morph: Morph V3 Fastmorph/morph-v3-fastexact · 50/50Qwen2.5 72B Instructqwen/qwen-2.5-72b-instructexact · 50/50Qwen: Qwen2.5 7B Instructqwen/qwen-2.5-7b-instructexact · 50/50Qwen2.5 Coder 32B Instructqwen/qwen-2.5-coder-32b-instructexact · 50/50Qwen: Qwen-Plusqwen/qwen-plusexact · 50/50Qwen: Qwen Plus 0728qwen/qwen-plus-2025-07-28exact · 50/50Qwen: Qwen2.5 VL 72B Instructqwen/qwen2.5-vl-72b-instructexact · 50/50Qwen: Qwen3 14Bqwen/qwen3-14bexact · 50/50Qwen: Qwen3 235B A22Bqwen/qwen3-235b-a22bexact · 50/50Qwen: Qwen3 235B A22B Instruct 2507qwen/qwen3-235b-a22b-2507exact · 50/50Qwen: Qwen3 30B A3Bqwen/qwen3-30b-a3bexact · 50/50Qwen: Qwen3 30B A3B Instruct 2507qwen/qwen3-30b-a3b-instruct-2507exact · 50/50Qwen: Qwen3 30B A3B Thinking 2507qwen/qwen3-30b-a3b-thinking-2507exact · 50/50Qwen: Qwen3 32Bqwen/qwen3-32bexact · 50/50Qwen: Qwen3 8Bqwen/qwen3-8bexact · 50/50Qwen: Qwen3 Coder 480B A35Bqwen/qwen3-coderexact · 50/50Qwen: Qwen3 Coder 30B A3B Instructqwen/qwen3-coder-30b-a3b-instructexact · 50/50Qwen: Qwen3 Coder Flashqwen/qwen3-coder-flashexact · 50/50Qwen: Qwen3 Coder Nextqwen/qwen3-coder-nextexact · 50/50Qwen: Qwen3 Coder Plusqwen/qwen3-coder-plusexact · 50/50Qwen: Qwen3 Maxqwen/qwen3-maxexact · 50/50Qwen: Qwen3 Max Thinkingqwen/qwen3-max-thinkingexact · 50/50Qwen: Qwen3 Next 80B A3B Instructqwen/qwen3-next-80b-a3b-instructexact · 50/50Qwen: Qwen3 Next 80B A3B Thinkingqwen/qwen3-next-80b-a3b-thinkingexact · 50/50Qwen: Qwen3 VL 235B A22B Instructqwen/qwen3-vl-235b-a22b-instructexact · 50/50Qwen: Qwen3 VL 235B A22B Thinkingqwen/qwen3-vl-235b-a22b-thinkingexact · 50/50Qwen: Qwen3 VL 30B A3B Instructqwen/qwen3-vl-30b-a3b-instructexact · 50/50Qwen: Qwen3 VL 30B A3B Thinkingqwen/qwen3-vl-30b-a3b-thinkingexact · 50/50Qwen: Qwen3 VL 32B Instructqwen/qwen3-vl-32b-instructexact · 50/50Qwen: Qwen3 VL 8B Instructqwen/qwen3-vl-8b-instructexact · 50/50Qwen: Qwen3 VL 8B Thinkingqwen/qwen3-vl-8b-thinkingexact · 50/50Relace: Relace Searchrelace/relace-searchexact · 50/50Xiaomi: MiMo-V2.5xiaomi/mimo-v2.5exact · 50/50Xiaomi: MiMo-V2.5-Proxiaomi/mimo-v2.5-proexact · 50/50Xiaomi: MiMo-V2.6-Flashxiaomi/mimo-v2.6-flashexact · 50/50Xiaomi: MiMo-V2.6-Proxiaomi/mimo-v2.6-proexact · 50/50Xiaomi: MiMo-V2.6-Pro-UltraSpeedxiaomi/mimo-v2.6-pro-ultraspeedexact · 50/50Writer: Palmyra X5writer/palmyra-x5same tokenizer · template shift

Closest measured models

Agreement across the mutually clean test strings
Xiaomi: MiMo-V2.5xiaomi/mimo-v2.550/50 · 100%Xiaomi: MiMo-V2.5-Proxiaomi/mimo-v2.5-pro50/50 · 100%Dots Studio: Dots3-Note Preview (free)dots-studio/dots-3-note-preview:free50/50 · 100%Qwen: Qwen3 30B A3B Instruct 2507qwen/qwen3-30b-a3b-instruct-250750/50 · 100%Qwen: Qwen3 Coder 30B A3B Instructqwen/qwen3-coder-30b-a3b-instruct50/50 · 100%Qwen: Qwen3 32Bqwen/qwen3-32b50/50 · 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 235B A22B Thinking 2507 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-common10
zh-long12
zh-rare17
ja-kana8
ja-kanji13
ko17

Other scripts

ru16
ar8
he9
hi29
th12
el28

Emoji

emoji-basic5
emoji-skin10
emoji-zwj-family10
emoji-zwj-x330
emoji-flags8
emoji-prof14

Rare Unicode

math26
boxdraw17
combining5
cjk-ext-b12
surrogates22
zalgo36
rtl-mix7

Code

py-code25
py-indent15
json25
html16
regex44
camel5
snake6

Repetition and encodings

rare-word-x531
repeat-tok22
base6436
hex17
url19
uuid36

Overhead subtracted: 9 prompt tokens.

Declared record

What the catalogue claims about this model

Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...

Modalities
text->text
Declared tokenizer
Qwen3
Prompt price
$0.23 / M tokens
Completion price
$2.30 / M tokens

Supported parameters

frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningrepetition_penaltyresponse_formatseedstoptemperaturetool_choicetoolstop_ktop_logprobstop_p

defaults: {"temperature":null,"top_p":null,"frequency_penalty":null}

Catalogue entryWeights on Hugging Face

History

Every observation, kept as taken
  • 25 July 2025Enters the OpenRouter catalogue declared as Qwen3.
  • 21 August 2026Fingerprinted in the YFarmX catalogue sweep · 50 of 50 strings measured clean.
  • 21 August 2026YFarmX assessment: consistent with the Qwen family, high confidence.