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AI Desk · AI Fingerprinting · Compare

Baidu: ERNIE 4.5 VL 424B A47B · Mancer: Weaver (alpha)

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

Baidu: ERNIE 4.5 VL 424B A47B recordMancer: Weaver (alpha) 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 stringBaidu: ERNIE 4.5 VL 424B A47B Mancer: Weaver (alpha)Result
English sentenceen-prose
Exact text
The quick brown fox jumps over the lazy dog near the riverbank.
1416≠ Different
Long English sentenceen-long
Exact text
Attribution of a stealth model requires evidence that the model cannot choose to withhold.
1518≠ Different
20 spacesspaces-20
Exact text
a                    b
Show whitespace marks

· = space, ⇥ = tab, ↵ = line break

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

· = space, ⇥ = tab, ↵ = line break

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

· = space, ⇥ = tab, ↵ = line break

a⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥b
2222✓ Matched
20 line breaksnewlines-20
Exact text
a



















b
Show whitespace marks

· = space, ⇥ = tab, ↵ = line break

a↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
b
2222✓ Matched
Mixed whitespacemixed-ws
Exact text
a 	
  	
   b
Show whitespace marks

· = space, ⇥ = tab, ↵ = line break

a·⇥↵
··⇥↵
···b
99✓ Matched
9 digitsdigits-9
Exact text
123456789
99✓ Matched
12 digitsdigits-12
Exact text
123456789012
1212✓ Matched
30 repeated digitsdigits-30
Exact text
111111111111111111111111111111
3030✓ Matched
Formatted numberdigits-sep
Exact text
1,234,567.89
1212✓ Matched
Long decimalfloat-long
Exact text
3.14159265358979323846
2222✓ Matched
Chinese sentencezh-common
Exact text
这是一个用于测试分词器行为的中文句子
822≠ Different
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
1034≠ Different
Rare Chinese characterszh-rare
Exact text
龘齉齾爩鱻麤靐飝鞻
2727✓ Matched
Japanese kanaja-kana
Exact text
これはトークナイザーのテストです
1016≠ Different
Japanese kanjija-kanji
Exact text
日本語の漢字と仮名の混在文章
1316≠ Different
Koreanko
Exact text
한국어 토크나이저 테스트 문장입니다
1229≠ Different
Russianru
Exact text
Проверка токенизатора на кириллице
1314≠ Different
Arabicar
Exact text
اختبار المحلل اللغوي للنصوص العربية
1229≠ Different
Hebrewhe
Exact text
בדיקת מנתח אסימונים בעברית
1226≠ Different
Hindihi
Exact text
यह टोकनाइज़र परीक्षण वाक्य है
1431≠ Different
Thaith
Exact text
นี่คือประโยคทดสอบตัวแบ่งคำ
1426≠ Different
Greekel
Exact text
Δοκιμή του τμηματοποιητή κειμένου
1333≠ Different
Basic emojiemoji-basic
Exact text
😀😃😄😁😆
2020✓ Matched
Emoji skin tonesemoji-skin
Exact text
👍🏻👍🏼👍🏽👍🏾👍🏿
2240≠ Different
Joined family emojiemoji-zwj-family
Exact text
👨‍👩‍👧‍👦
1919✓ Matched
Repeated family emojiemoji-zwj-x3
Exact text
👨‍👩‍👧‍👦👨‍👩‍👧‍👦👨‍👩‍👧‍👦
5757✓ Matched
Flag emojiemoji-flags
Exact text
🇬🇧🇺🇸🇨🇳🇯🇵
832≠ Different
Profession emojiemoji-prof
Exact text
👩🏽‍💻👨🏿‍🚀🧑‍🔬
3535✓ Matched
Mathematical symbolsmath
Exact text
∀x∈ℝ ∃y∈ℚ : x⊕y ≡ ∅ ∧ ∇²φ = 0
4426≠ Different
Box-drawing charactersboxdraw
Exact text
┌─┬─┐│├┼┤└┴┘╔═╗╚╝
4117≠ Different
Combining accentscombining
Exact text
áêĩōü
1010✓ Matched
Extended Chinese characterscjk-ext-b
Exact text
𠀀𠀁𠀂𪛖
1616✓ Matched
Styled Unicode letterssurrogates
Exact text
𝕳𝖊𝖑𝖑𝖔 𝓦𝓸𝓻𝓵𝓭 𝟙𝟚𝟛
5454✓ Matched
Layered combining markszalgo
Exact text
h̸̢̛e̵̛�݃l̷̨͐l̸̛͝o̶̧͝
3635≠ Different
Mixed writing directionsrtl-mix
Exact text
hello שלום world مرحبا
613≠ 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]
2828✓ 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
1919✓ Matched
JSON objectjson
Exact text
{"model":"ox-alpha","context_length":1048576,"top_p":0.95}
2828✓ Matched
HTML markuphtml
Exact text
<div class="row"><span id="a">x</span></div>
1717✓ Matched
Regular expressionregex
Exact text
^(?:[a-z0-9!#$%&*+/=?^_`{|}~-]+)@(?:[a-z0-9](?:[a-z0-9-]*)?\.)+$
4452≠ Different
Camel-case identifiercamel
Exact text
getUserAccountBalanceByIdentifier
68≠ Different
Snake-case identifiersnake
Exact text
get_user_account_balance_by_identifier
1112≠ Different
Repeated long wordrare-word-x5
Exact text
antidisestablishmentarianism antidisestablishmentarianism antidisestablishmentarianism antidisestablishmentarianism antidisestablishmentarianism
2645≠ 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
2140≠ Different
Base64 textbase64
Exact text
SGVsbG8gV29ybGQhIFRoaXMgaXMgYSB0ZXN0IHN0cmluZy4=
3141≠ Different
Hexadecimal texthex
Exact text
deadbeefcafebabe0123456789abcdef
1520≠ Different
URL texturl
Exact text
https://openrouter.ai/api/v1/models?limit=100&offset=0
2323✓ Matched
UUIDuuid
Exact text
3f2504e0-4f89-11d3-9a0c-0305e82c3301
3636✓ 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.

ABaidu: ERNIE 4.5 VL 424B A47B
BMancer: Weaver (alpha)

Context window

Different

Total token capacity per request

A123,000 tokens
B8,000 tokens

Maximum reply

Different

Published output limit in tokens

A16,000 tokens
B6,000 tokens

Input price

Different

US dollars per 1 million input tokens

AUS$0.42 / 1M tokens
BUS$0.40 / 1M tokens

Output price

Different

US dollars per 1 million output tokens

AUS$1.25 / 1M tokens
BUS$0.75 / 1M tokens

What you can send and receive

Different

AERNIE 4.5 VL 424B A47B

Accepts
textimage
Produces
text

BWeaver (alpha)

Accepts
text
Produces
text

Developer settings

Open a section to compare the complete declarations.

Supported API settingsShared controls and the settings unique to each model9 shared · 8 model-specific

AOnly ERNIE 4.5 VL 424B A47B 2

  • Include reasoninginclude_reasoning
  • Reasoningreasoning

BOnly Weaver (alpha) 6

  • Token biaslogit_bias
  • Token probabilitieslogprobs
  • Minimum probabilitymin_p
  • Response formatresponse_format
  • Top atop_a
  • Top token probabilitiestop_logprobs
9 settings supported by both models
  • Frequency penaltyfrequency_penalty
  • Maximum tokensmax_tokens
  • Presence penaltypresence_penalty
  • Repetition penaltyrepetition_penalty
  • Seedseed
  • Stop sequencesstop
  • Temperaturetemperature
  • Top ktop_k
  • Top ptop_p
Reasoning settingsEffort levels and reasoning behaviour1 different · 0 shared
A1 declared fieldsBUnspecified
SettingAERNIE 4.5 VL 424B A47B BWeaver (alpha)
Reasoning requiredNoUnspecified
Default settingsValues used when a request leaves a setting openDeclarations available below
ANo values declaredBNo values declared

Both models’ declarations are shown above.

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.