Google: Gemini 4 Argon

google/gemini-4-argon · GoogleNot yet established

Declared family: Gemini
Declared tokenizer tag: Gemini
Entered catalogue: 13 October 2026
Last tested: 14 October 2026
Measured signature: tk_f0deddce

Compare with Google: Nano Banana 2 (Gemini 3.1 Flash Image)

Identity statement

Google: Gemini 4 Argon 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 checked	What we found	Where it came from
How it counts tokens	Counted cleanly, and no other model in the catalogue counts the same way	tk_f0deddce
How its API is set up	Set up identically to 3 other listings, field for field	api_16435537
How much it can read and write	Reads up to 1,048,576 tokens at once, writes up to 65,536	its own listing
Whether it thinks before answering	Always reasons, and cannot be turned off, at high, medium, low, medium by default	its own listing
Who served our requests	Google	we measured it, 14 October 2026

Closest measured models

Agreement across the mutually clean test strings

Google: Nano Banana 2 (Gemini 3.1 Flash Image)google/gemini-3.1-flash-image26/44 · 59%Google: Gemini 3.7 Flashgoogle/gemini-3.7-flash28/50 · 56%Google: Gemma 3 4Bgoogle/gemma-3-4b-it28/50 · 56%Google: Gemma 3 12Bgoogle/gemma-3-12b-it28/50 · 56%Google: Gemma 3n 4Bgoogle/gemma-3n-e4b-it28/50 · 56%Google: Gemma 3 27Bgoogle/gemma-3-27b-it28/50 · 56%

Click a row to open the full comparison.

The measured fingerprint

What each test string cost this model, in tokens

We sent Google: Gemini 4 Argon 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-prose13

en-long15

spaces-203

spaces-604

tabs-203

newlines-203

mixed-ws9

Digits

digits-99

digits-1212

digits-3030

digits-sep12

float-long22

CJK

zh-common9

zh-long12

zh-rare23

ja-kana7

ja-kanji9

ko10

Other scripts

ru9

ar10

he12

hi9

th8

el13

Emoji

emoji-basic5

emoji-skin10

emoji-zwj-family5

emoji-zwj-x315

emoji-flags7

emoji-prof10

Rare Unicode

math24

boxdraw17

combining9

cjk-ext-b16

surrogates21

zalgo21

rtl-mix6

Code

py-code28

py-indent18

json28

html14

regex45

camel6

snake11

Repetition and encodings

rare-word-x520

repeat-tok20

base6431

hex16

url23

uuid36

Overhead subtracted: 31 prompt tokens.

Declared record

What the catalogue claims about this model

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...

Modalities: text+image+file+audio+video->text
Declared tokenizer: Gemini
Prompt price: $2.00 / M tokens
Completion price: $10.0 / M tokens

Supported parameters

include_reasoningmax_tokensreasoningreasoning_effortresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_p

Default settings

Temperature: Unspecified
Top p: Unspecified
Top k: Unspecified
Frequency penalty: Unspecified
Presence penalty: Unspecified
Repetition penalty: Unspecified

Catalogue entry

History

Every observation, kept as taken

13 October 2026Enters the OpenRouter catalogue declared as Gemini.
14 October 2026Fingerprinted in the YFarmX catalogue sweep · 50 of 50 strings measured clean.