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.

Modelo base Todos os modelos desta base Todos os modelos do provedor ao provedor

Entrada, $/1M $2.00

Saída, $/1M $10.00

Leitura de cache $0.10

Gravação de cache —

Contexto 1 000 000

Saída máx. 1 000 000

Aceita imagens, pdf, texto, vídeo

Última verificação 04.11.2026 12:00:14 UTC

Fonte —

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API

API compatível com OpenAI: os SDKs oficiais da OpenAI funcionam com esta URL base. Substitua YOUR_API_KEY pela sua chave do provedor.

URL base da API	`https://ai-gateway.vercel.sh/v1`
Endpoint	`https://ai-gateway.vercel.sh/v1/chat/completions`
ID do modelo	`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());

Requisição (JSON)

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

Resposta (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
  }
}

O endereço vem da lista de modelos do provedor; confira na documentação dele.

Documentação da API do provedor

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

Dados técnicos

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