Gemini 4 Argon

Gemini 4 Argon is Google's first Gemini 4 model, a frontier system built to sustain careful reasoning across long, multi-step professional work.

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input · usd / 1m tok

$2.00

output · usd / 1m tok

$10.00

context window

1.05mtokens

modalities · in → out

pricing

base api ratesusd per 1m tokens

input: $2.00
output: $10.00
cache read: $0.10

providers

Google hosts Gemini 4 Argon. Impossibl routes your request intelligently and handles failover automatically when a provider is down.

Google

specifications

takes text, image, audio and video in, gives text outgoogle/gemini-4-argon

creatorGoogle
model typeText generation
context window1,048,576 tokens
maximum outputnot published
input
takes text, image, audio and video in, gives text out
outputtext
tool callingnot verified
releasedsep 30, 2026
endpoint/v1/chat/completions

unknown means the public catalog does not establish that fact. a model's documented capabilities can differ from what a particular api supports. see the model documentation for integration details.

try it · your prompt, this model, live

# responses API
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["IMPOSSIBL_API_KEY"],
    base_url="https://api.impossibl.com/v1",
)

resp = client.responses.create(
    model="google/gemini-4-argon",
    input="▌",
)
print(resp.output_text)

edit the prompt, then run

# responses API
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["IMPOSSIBL_API_KEY"],
    base_url="https://api.impossibl.com/v1",
)

resp = client.responses.create(
    model="google/gemini-4-argon",
    input="▌",
)
print(resp.output_text)

edit the prompt, then run

benchmarks

intelligence index

52.6#5 of 105 models on the gateway

omniscience42.4#2 of 81
humanity’s last exam57.1%#1 of 84

AA-LCR79.7%
AutomationBench Partial77.5%
SciCode61.8%
Humanity’s Last Exam57.1%
AnalystAgent48.8%
CritPt27.1%
GDP.pdf All-pass21.8%

Intelligence Index52.56
Omniscience Index42.35
GDPval Elo1623.99
legal index (API)60
economics index (API)60.4
engineering index (API)55.2
intelligence index (API)52.6
strategy and ops index (API)56.2
finance and accounting index (API)53.8

view source ↗all source data and breakdowns (json) ↗

each configuration is listed separately; these evaluations describe the tested model configuration, and performance and costs can differ on impossibl. unmeasured scores are omitted and api values keep their source units. last checked 2026-10-14.

compare Gemini 4 Argon with other models

frontier labs and open weights, best-ranked firstusd / 1m tok · in / out

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frequently asked questions

What is Gemini 4 Argon?

Gemini 4 Argon is Google's first Gemini 4 model, a frontier system built to sustain careful reasoning across long, multi-step professional work. It is aimed at real-world software engineering, enterprise knowledge work such as legal and finance, and cybersecurity defense, rather than the quick everyday turns the Flash line handles.

How much does Gemini 4 Argon cost?

Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens through the Impossibl API. Cache reads cost $0.10 per million tokens. All rates are in USD.

view the pricing table ↑

What is the context length of Gemini 4 Argon?

Gemini 4 Argon has a 1,048,576-token context window through the Impossibl API.

What inputs and outputs does Gemini 4 Argon support?

Gemini 4 Argon accepts text, image, audio, and video as input. Gemini 4 Argon returns text.

How do I use Gemini 4 Argon through an API?

Gemini 4 Argon is available through the Impossibl API. Use google/gemini-4-argon as the model identifier with /v1/chat/completions. The quickstart explains how to create an API key and send your first request.

follow the api quickstart →

When was Gemini 4 Argon released?

Google released Gemini 4 Argon on September 30, 2026.

Creator release announcement ↗

this page describes Gemini 4 Argon as listed by the impossibl public api. prices and availability come from that catalog, refreshed here every five minutes. this is an impossibl offering, not a comparison of independent hosting-provider quotes. model descriptions and release dates, where available, use the creator sources linked under the answers above.

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