Gemini 4 Argon

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google/gemini-4-argon

Gemini 4 Argon — Google's flagship reasoning model, built for hard coding and agent work.

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Context window: 1M
Max output: 64K
Input modalities: text · image · video · file
Output modalities: text
Capabilities: Vision · Reasoning · Tool calling · JSON mode · Coding · Video input
Upstream release: 2026-10-13
RouteMux name: google/gemini-4-argon

Live model playground

Try Gemini 4 Argon here

Tune the request, see the current price ceiling, and inspect the real response without leaving this model page.

streamchat

1Configure input

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0 / 20,000

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2Live result

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Enter an input on the left. The same RouteMux Playground execution and billing path powers this embedded test.

Gemini 4 Argon API pricing

Prices verified 2026-10-20

InputOfficial $2 / M tokens

$1/ M tokensSave 50%

OutputOfficial $10 / M tokens

$5/ M tokensSave 50%

Cache read $0.05/M · Cache write —/M

Estimate cost

Input tokensOutput tokens

Estimated cost$0.015

Limited time10% extra Credits on your first top-up — up to 200 bonus Credits

Applies to your first top-up within 72 hours of signing up. Minimum $20, once per account.

Key capabilities

VisionReasoningTool callingJSON modeCodingVideo input

Interface and protocols

OpenAI Chat CompletionsStreamingGoogle Vertex AIStreaming

Use any of these IDs to call this model via the API.

RouteMux namegoogle/gemini-4-argon

Replace the ROUTEMUX_KEY placeholder with your API key. Create one →

from openai import OpenAI

client = OpenAI(
    base_url="https://api.routemux.com/v1",
    api_key="<ROUTEMUX_KEY>",
)

completion = client.chat.completions.create(
    model="google/gemini-4-argon",
    messages=[{"role": "user", "content": "What is the meaning of life?"}],
)
print(completion.choices[0].message.content)

base_url: https://api.routemux.com/v1

Performance (last 30 days)

0 requests · last 30 days

Total usage—

P50 first-token latencyInsufficient data (0 requests)

Avg throughputInsufficient data (0 requests)

Success rate66.0%

Uptime · 24htested via openai_chat

65.96%

Gemini 4 Argon FAQ

›What is Gemini 4 Argon?

Gemini 4 Argon — Google's flagship reasoning model, built for hard coding and agent work.

›How large is the context window of Gemini 4 Argon?

Gemini 4 Argon supports a context window of up to 1M tokens, with up to 64K output tokens per request.

›How much does the Gemini 4 Argon API cost?

Through RouteMux, Gemini 4 Argon costs $1 for input and $5 for output (USD per 1M tokens), below the official list price.

›How do I call Gemini 4 Argon via API?

Gemini 4 Argon is OpenAI-compatible: point your base URL at RouteMux and set the model field to google/gemini-4-argon — no code changes needed.

›Which input and output modalities does Gemini 4 Argon support?

Gemini 4 Argon accepts text, image, video, file as input and produces text as output.

›When was Gemini 4 Argon released?

Gemini 4 Argon was released on October 13, 2026.

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