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AI Desk · AI Fingerprinting · Compare

Arcee AI: Trinity Large Thinking · Cohere: North Mini Code (free)

Identity similarity: lowDivergent fingerprints · 24/50These models tokenise differently. The rows that part here are the English prose, whitespace, CJK, non-Latin script and emoji strings. Divergence on high-information strings separates unrelated vocabularies within a handful of samples.

Arcee AI: Trinity Large Thinking recordCohere: North Mini Code (free) recordOpen in the interactive bench

View all 50 test strings24 matched · 26 different · 0 excluded

String-by-string results

Expand a string to read or copy its exact text. Each row compares the two models’ token counts.

24 of 50 clean strings agree

Showing all 50 strings.

Test stringArcee AI: Trinity Large ThinkingCohere: North Mini Code (free)Result
English sentenceen-prose
Exact text
The quick brown fox jumps over the lazy dog near the riverbank.
1314≠ Different
Long English sentenceen-long
Exact text
Attribution of a stealth model requires evidence that the model cannot choose to withhold.
1515✓ Matched
20 spacesspaces-20
Exact text
a                    b
Show whitespace marks

· = space, ⇥ = tab, ↵ = line break

a····················b
33✓ Matched
60 spacesspaces-60
Exact text
a                                                            b
Show whitespace marks

· = space, ⇥ = tab, ↵ = line break

a····························································b
33✓ Matched
20 tabstabs-20
Exact text
a																				b
Show whitespace marks

· = space, ⇥ = tab, ↵ = line break

a⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥b
33✓ Matched
20 line breaksnewlines-20
Exact text
a



















b
Show whitespace marks

· = space, ⇥ = tab, ↵ = line break

a↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
b
44✓ Matched
Mixed whitespacemixed-ws
Exact text
a 	
  	
   b
Show whitespace marks

· = space, ⇥ = tab, ↵ = line break

a·⇥↵
··⇥↵
···b
56≠ Different
9 digitsdigits-9
Exact text
123456789
33✓ Matched
12 digitsdigits-12
Exact text
123456789012
44✓ Matched
30 repeated digitsdigits-30
Exact text
111111111111111111111111111111
1010✓ Matched
Formatted numberdigits-sep
Exact text
1,234,567.89
77✓ Matched
Long decimalfloat-long
Exact text
3.14159265358979323846
99✓ Matched
Chinese sentencezh-common
Exact text
这是一个用于测试分词器行为的中文句子
1010✓ Matched
Long Chinese sentencezh-long
Exact text
人工智能模型的归属需要可验证的证据而不是自我报告
1213≠ Different
Rare Chinese characterszh-rare
Exact text
龘齉齾爩鱻麤靐飝鞻
1918≠ Different
Japanese kanaja-kana
Exact text
これはトークナイザーのテストです
97≠ Different
Japanese kanjija-kanji
Exact text
日本語の漢字と仮名の混在文章
119≠ Different
Koreanko
Exact text
한국어 토크나이저 테스트 문장입니다
1410≠ Different
Russianru
Exact text
Проверка токенизатора на кириллице
1412≠ Different
Arabicar
Exact text
اختبار المحلل اللغوي للنصوص العربية
1611≠ Different
Hebrewhe
Exact text
בדיקת מנתח אסימונים בעברית
1710≠ Different
Hindihi
Exact text
यह टोकनाइज़र परीक्षण वाक्य है
1811≠ Different
Thaith
Exact text
นี่คือประโยคทดสอบตัวแบ่งคำ
209≠ Different
Greekel
Exact text
Δοκιμή του τμηματοποιητή κειμένου
1813≠ Different
Basic emojiemoji-basic
Exact text
😀😃😄😁😆
1010✓ Matched
Emoji skin tonesemoji-skin
Exact text
👍🏻👍🏼👍🏽👍🏾👍🏿
1310≠ Different
Joined family emojiemoji-zwj-family
Exact text
👨‍👩‍👧‍👦
79≠ Different
Repeated family emojiemoji-zwj-x3
Exact text
👨‍👩‍👧‍👦👨‍👩‍👧‍👦👨‍👩‍👧‍👦
2127≠ Different
Flag emojiemoji-flags
Exact text
🇬🇧🇺🇸🇨🇳🇯🇵
1212✓ Matched
Profession emojiemoji-prof
Exact text
👩🏽‍💻👨🏿‍🚀🧑‍🔬
1413≠ Different
Mathematical symbolsmath
Exact text
∀x∈ℝ ∃y∈ℚ : x⊕y ≡ ∅ ∧ ∇²φ = 0
2424✓ Matched
Box-drawing charactersboxdraw
Exact text
┌─┬─┐│├┼┤└┴┘╔═╗╚╝
2122≠ Different
Combining accentscombining
Exact text
áêĩōü
109≠ Different
Extended Chinese characterscjk-ext-b
Exact text
𠀀𠀁𠀂𪛖
1616✓ Matched
Styled Unicode letterssurrogates
Exact text
𝕳𝖊𝖑𝖑𝖔 𝓦𝓸𝓻𝓵𝓭 𝟙𝟚𝟛
2835≠ Different
Layered combining markszalgo
Exact text
h̸̢̛e̵̛�݃l̷̨͐l̸̛͝o̶̧͝
2933≠ Different
Mixed writing directionsrtl-mix
Exact text
hello שלום world مرحبا
86≠ Different
Python codepy-code
Exact text
def f(x):
    return [i**2 for i in range(x) if i % 3 == 0]
Show whitespace marks

· = space, ⇥ = tab, ↵ = line break

def·f(x):↵
····return·[i**2·for·i·in·range(x)·if·i·%·3·==·0]
2525✓ Matched
Indented Pythonpy-indent
Exact text
if a:
        if b:
                if c:
                        return 1
Show whitespace marks

· = space, ⇥ = tab, ↵ = line break

if·a:↵
········if·b:↵
················if·c:↵
························return·1
1515✓ Matched
JSON objectjson
Exact text
{"model":"ox-alpha","context_length":1048576,"top_p":0.95}
2020✓ Matched
HTML markuphtml
Exact text
<div class="row"><span id="a">x</span></div>
1616✓ Matched
Regular expressionregex
Exact text
^(?:[a-z0-9!#$%&*+/=?^_`{|}~-]+)@(?:[a-z0-9](?:[a-z0-9-]*)?\.)+$
3839≠ Different
Camel-case identifiercamel
Exact text
getUserAccountBalanceByIdentifier
66✓ Matched
Snake-case identifiersnake
Exact text
get_user_account_balance_by_identifier
66✓ Matched
Repeated long wordrare-word-x5
Exact text
antidisestablishmentarianism antidisestablishmentarianism antidisestablishmentarianism antidisestablishmentarianism antidisestablishmentarianism
2120≠ Different
Repeated wordrepeat-tok
Exact text
lorem lorem lorem lorem lorem lorem lorem lorem lorem lorem lorem lorem lorem lorem lorem lorem lorem lorem lorem lorem
2220≠ Different
Base64 textbase64
Exact text
SGVsbG8gV29ybGQhIFRoaXMgaXMgYSB0ZXN0IHN0cmluZy4=
2932≠ Different
Hexadecimal texthex
Exact text
deadbeefcafebabe0123456789abcdef
1010✓ Matched
URL texturl
Exact text
https://openrouter.ai/api/v1/models?limit=100&offset=0
1717✓ Matched
UUIDuuid
Exact text
3f2504e0-4f89-11d3-9a0c-0305e82c3301
2727✓ Matched

Counts show each string’s prompt-token cost after the fixed overhead is subtracted. Excluded readings are kept separate from matched and different results.

Published model settings

Limits, prices and capabilities

Compare the essentials, then open the developer settings for more detail.

AArcee AI: Trinity Large Thinking
BCohere: North Mini Code (free)

Context window

Different

Total token capacity per request

A262,144 tokens
B256,000 tokens

Maximum reply

Different

Published output limit in tokens

A80,000 tokens
B64,000 tokens

Input price

Different

US dollars per 1 million input tokens

AUS$0.25 / 1M tokens
BUS$0.00 / 1M tokens

Output price

Different

US dollars per 1 million output tokens

AUS$0.80 / 1M tokens
BUS$0.00 / 1M tokens

What you can send and receive

Same

ATrinity Large Thinking

Accepts
text
Produces
text

BNorth Mini Code (free)

Accepts
text
Produces
text

Developer settings

Open a section to compare the complete declarations.

Supported API settingsShared controls and the settings unique to each model8 shared · 4 model-specific

AOnly Trinity Large Thinking 0

All declared settings are shared.

BOnly North Mini Code (free) 4

  • Frequency penaltyfrequency_penalty
  • Presence penaltypresence_penalty
  • Seedseed
  • Stop sequencesstop
8 settings supported by both models
  • Include reasoninginclude_reasoning
  • Maximum tokensmax_tokens
  • Reasoningreasoning
  • Temperaturetemperature
  • Tool choicetool_choice
  • Toolstools
  • Top ktop_k
  • Top ptop_p
Reasoning settingsEffort levels and reasoning behaviour1 different · 0 shared
A1 declared fieldsB1 declared fields
SettingATrinity Large ThinkingBNorth Mini Code (free)
Reasoning requiredYesNo
Default settingsValues used when a request leaves a setting open2 different · 4 shared
A6 declared fieldsB6 declared fields
SettingATrinity Large ThinkingBNorth Mini Code (free)
Temperature0.3Unspecified
Top p0.8Unspecified
Top kUnspecifiedUnspecified
Frequency penaltyUnspecifiedUnspecified
Presence penaltyUnspecifiedUnspecified
Repetition penaltyUnspecifiedUnspecified

Published API declarations. Prices and limits can vary by provider.

Method: tokenizer fingerprinting, v1, 50 strings. This page is static and dated; the interactive bench compares any two of the 353 measured models.