Google

Gemini 4 Argon

Built for complex software engineering, mathematical and scientific problems, and long tasks requiring multi-step agent work. It accepts text, images, video, audio, and PDFs, with a unified context of about 1.05 million tokens, plus thinking, tool use, and code execution. It is a flagship reasoning model; routine short Q&A usually does not need this much context or reasoning.

  • Reasoning
  • Web search
  • Tool use
  • Function calling
  • Structured output
  • Long context
  • Code execution

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Uses your account balance at the model’s current rates.

USD /1M tokens

Pricing

GroupInputOutputCache Read
default$2.1$10.5$0.09996
default
Input$2.1Output$10.5Cache Read$0.09996

Public list prices are shown in USD. Final charges may vary by account group and usage tier.

API

Code examples

curl --location --request POST 'https://api.tokenhot.ai/v1beta/models/gemini-4-argon:generateContent' \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data-raw '{
    "contents": [
        {
            "role": "user",
            "parts": [
                {
                    "text": "Hello"
                }
        }
    ]
}'

Google

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FAQ

Frequently asked questions

What is Gemini 4 Argon best suited for?

Gemini 4 Argon is suited to the input, output, and capability types listed on this page. Test production workloads before choosing it for a critical system.

How is Gemini 4 Argon priced?

Pricing is shown in the pricing section above. Actual cost depends on usage volume, account group, and the request payload.

How can I call Gemini 4 Argon?

Use the model ID shown above with one of the supported API protocols. Code examples are provided when usage data is available.

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