Gemini 4 Argon · vercel

Gemini 4 Argon is Google’s multimodal reasoning model, supporting text, image, and file inputs with configurable reasoning levels. It combines tool calling, structured outputs, and Google Search and Maps grounding to support document analysis and agent workflows. Long-form generation supports continuation across requests, allowing applications to resume output beyond a single request’s token limit.

Base model All models on this base All models of the provider to the provider

Input, $/1M $2.00

Output, $/1M $10.00

Cache read $0.10

Cache write —

Context 1 000 000

Max output 1 000 000

Accepts images, pdf, text, video

Last checked 04.11.2026 12:00:14 UTC

Source —

Price alerts

API

OpenAI-compatible API: the official OpenAI SDKs work with this base URL. Replace YOUR_API_KEY with your key from the provider.

API base URL	`https://ai-gateway.vercel.sh/v1`
Endpoint	`https://ai-gateway.vercel.sh/v1/chat/completions`
Model id	`google/gemini-4-argon`

curl

curl https://ai-gateway.vercel.sh/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "google/gemini-4-argon", "messages": [{"role": "user", "content": "Hello!"}], "max_tokens": 256}'

Python

import requests

r = requests.post(
    "https://ai-gateway.vercel.sh/v1/chat/completions",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
      "model": "google/gemini-4-argon",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ],
      "max_tokens": 256
    },
)
print(r.json())

JavaScript

const r = await fetch("https://ai-gateway.vercel.sh/v1/chat/completions", {
  method: "POST",
  headers: {Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json"},
  body: JSON.stringify({
    "model": "google/gemini-4-argon",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ],
    "max_tokens": 256
  }),
});
console.log(await r.json());

Request (JSON)

{
  "model": "google/gemini-4-argon",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "max_tokens": 256
}

Response (JSON)

{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "model": "google/gemini-4-argon",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hi! How can I help?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 9,
    "completion_tokens": 12,
    "total_tokens": 21
  }
}

The address is taken from the provider's model list; check it against the provider's documentation.

Provider's API documentation

Source: AI Rate Card, https://airatecard.com/en/c/offer%3Avercel%7Cgoogle/gemini-4-argon, prices checked 2026-11-04

Technical details

ID: offer:vercel|google/gemini-4-argon