inclusionAI: Ling-2.6-flash

inclusionai/ling-2.6-flash · InclusionAITokenizer lineage measured

Tokenizer group (measured): InclusionAI
Evidence confidence: Very high
Declared tokenizer tag: Other
Entered catalogue: 21 April 2026
Last tested: 21 August 2026
Measurement: Measured

Evidence

exact tokenizer signature shared with 3 models
API-surface contract identical to a group member

Compare with Ling-3.0-flash

Download JSON Report a correction

Identity statement

inclusionAI: Ling-2.6-flash is InclusionAI's model, and its measured tokenizer sits in InclusionAI's own signature group alongside its sibling models. No other maker's measured model shares it so far.

Evidence stack

Signals of different kinds, weighed together

Signal	Result	Reference
Tokenizer signature	Exact match with 3 other models	tk_fc5a4585
API surface	Identical contract to 1 other entry	api_f98f8894
Context and output	262,144 context · 32,768 max output	declared
Reasoning contract	None declared	declared
Serving providers observed	Novita	measured 21 August 2026

Shares this fingerprint

Exact signature first; template-boundary shifts of the same signature beneath

inclusionAI: Ling-2.6-1Tinclusionai/ling-2.6-1texact · 50/50 Ling-3.0-flashinclusionai/ling-3.0-flashexact · 50/50 inclusionAI: Ring-2.6-1Tinclusionai/ring-2.6-1texact · 50/50

Closest measured models

Agreement across the mutually clean test strings

Ling-3.0-flashinclusionai/ling-3.0-flash50/50 · 100%inclusionAI: Ring-2.6-1Tinclusionai/ring-2.6-1t50/50 · 100%inclusionAI: Ling-2.6-1Tinclusionai/ling-2.6-1t50/50 · 100%Meituan: LongCat 2.0meituan/longcat-2.027/50 · 54%Perceptron: Perceptron Mk1perceptron/perceptron-mk125/50 · 50%Tencent: Hunyuan A13B Instructtencent/hunyuan-a13b-instruct25/50 · 50%

Click a row to open the full comparison.

The measured fingerprint

Marginal prompt-token cost of each test string, grouped by script

All 50 rows

English and whitespace

en-prose14

en-long16

spaces-203

spaces-603

tabs-205

newlines-2022

mixed-ws9

Digits

digits-99

digits-1212

digits-3030

digits-sep12

float-long22

CJK

zh-common9

zh-long10

zh-rare18

ja-kana10

ja-kanji13

ko12

Other scripts

ru15

ar14

he19

hi25

th15

el21

Emoji

emoji-basic10

emoji-skin20

emoji-zwj-family11

emoji-zwj-x333

emoji-flags16

emoji-prof20

Rare Unicode

math28

boxdraw30

combining5

cjk-ext-b16

surrogates40

zalgo36

rtl-mix9

Code

py-code26

py-indent18

json25

html16

regex45

camel5

snake6

Repetition and encodings

rare-word-x531

repeat-tok41

base6436

hex18

url19

uuid36

An x marks a row excluded as corrupt (caching or provider interference detected during measurement). Overhead subtracted: 18 prompt tokens.

Declared record

What the catalogue claims about this model

Ling-2.6-flash is an instant (instruct) model from inclusionAI with 104B total parameters and 7.4B active parameters, designed for real-world agents that require fast responses, strong execution, and high token efficiency....

Modalities: text->text
Declared tokenizer: Other
Prompt price: $0.01 / M tokens
Completion price: $0.03 / M tokens

Supported parameters

frequency_penaltylogprobsmax_tokenspresence_penaltyrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p

defaults: {"temperature":null,"top_p":null,"top_k":null,"frequency_penalty":null,"presence_penalty":null,"repetition_penalty":null}

Catalogue entry

History

Every observation, kept as taken

21 April 2026Enters the OpenRouter catalogue with no declared family.
21 August 2026Fingerprinted in the YFarmX catalogue sweep · 50 of 50 strings measured clean.
21 August 2026YFarmX assessment: consistent with the InclusionAI family, very high confidence.

Cite this page as the evidence record for inclusionAI: Ling-2.6-flash: the URL is stable, measurements are dated, and revisions append to the history above. Method: tokenizer fingerprinting, v1, 50 strings. The raw data behind every figure is on the data page.