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Gemini 4 Argon

gemini-4-argon

gemini-4-argon is available at gemini-4-argon. Below: price, specifications and request examples.

Price

model valueInput, per 1MOutput, per 1MCache, per 1M
gemini-4-argon$0.52$3.12$0.052

Prices per 1M tokens. You pay for what you use.

Specifications

Context window
1,000,000 tokens
Max output tokens
65,000 tokens
Image input
yes
Reasoning
yes
Anthropic format (/v1/messages)
no
Data in Russia
no

Request example

Create a key in the dashboard. Streaming works too: add "stream": true.

curl
curl https://whitelabel-demo.getvibeapi.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "gemini-4-argon", "messages": [{"role": "user", "content": "Hello!"}]}'
Python
from openai import OpenAI

client = OpenAI(base_url="https://whitelabel-demo.getvibeapi.com/v1", api_key="YOUR_KEY")
reply = client.chat.completions.create(
    model="gemini-4-argon",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(reply.choices[0].message.content)

Questions and answers

How much does gemini-4-argon cost?

Input is $0.52 per 1M tokens, output $3.12 per 1M. You are charged for the tokens actually used, so a single request costs a fraction of a cent. Your balance and spending are in the dashboard.

What is the context window of gemini-4-argon?

Up to 1,000,000 input tokens and up to 65,000 output tokens.

How do I call gemini-4-argon?

Set the base URL to https://whitelabel-demo.getvibeapi.com/v1 and use "gemini-4-argon" in the model field of any OpenAI-compatible client. curl and Python examples are on this page.

Is cached input cheaper?

Repeated context is billed at the cache price — $0.052 per 1M tokens instead of $0.52.

Does gemini-4-argon understand images?

Yes, images can be sent along with text.

Does it support reasoning?

Yes, the model supports a reasoning mode; its depth is set by a request parameter.

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