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Identity statement

LiquidAI: LFM2.5-2.6B (free) has a clean measured fingerprint that currently sits alone: no other measured model shares its signature.

What we checked

Four different kinds of evidence, and what each one showed
We checkedWhat we foundWhere it came from
How it counts tokensCounted cleanly, and no other model in the catalogue counts the same waytk_2c236574
How its API is set upA combination of settings no other listing in the catalogue usesapi_d2ad76e1
How much it can read and writeReads up to 65,536 tokens at once, writes up to 8,192its own listing
Whether it thinks before answeringAlways reasons, and cannot be turned offits own listing
Who served our requestsLiquidwe measured it, 21 August 2026

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 LiquidAI: LFM2.5-2.6B (free) 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-long18
spaces-203
spaces-603
tabs-204
newlines-204
mixed-ws7

Digits

digits-93
digits-124
digits-3010
digits-sep7
float-long9

CJK

zh-common12
zh-long16
zh-rare18
ja-kana9
ja-kanji11
ko11

Other scripts

ru16
ar10
he14
hi14
th14
el17

Emoji

emoji-basic10
emoji-skin20
emoji-zwj-family11
emoji-zwj-x333
emoji-flags16
emoji-prof19

Rare Unicode

math27
boxdraw29
combining12
cjk-ext-b16
surrogates40
zalgo36
rtl-mix7

Code

py-code25
py-indent15
json20
html16
regex49
camel6
snake7

Repetition and encodings

rare-word-x531
repeat-tok41
base6431
hex13
url18
uuid27

Overhead subtracted: 10 prompt tokens.

Declared record

What the catalogue claims about this model

LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...

Modalities
text->text
Declared tokenizer
Other
Prompt price
$0 / M tokens
Completion price
$0 / M tokens

Supported parameters

frequency_penaltyinclude_reasoninglogprobsmax_completion_tokensmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p

defaults: {"temperature":0.1,"top_k":50,"repetition_penalty":1.1}

Catalogue entryWeights on Hugging Face

History

Every observation, kept as taken
  • 11 August 2026Enters the OpenRouter catalogue with no declared family.
  • 21 August 2026Fingerprinted in the YFarmX catalogue sweep · 50 of 50 strings measured clean.