Gemini 2.5 Pro (Batch) · vercel

Gemini 2.5 Pro is our most advanced reasoning Gemini model, capable of solving complex problems. Gemini 2.5 Pro can comprehend vast datasets and challenging problems from different information sources, including text, audio, images, video, and even entire code repositories.

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

Entrada, $/1M $0.62

Saída, $/1M $5.00

Leitura de cache $0.12

Gravação de cache —

Contexto 1 048 576

Saída máx. 65 535

Aceita imagens, pdf, texto

Última verificação 04.11.2026 12:00:14 UTC

Fonte —

Alertas de preço

Entre para seguir o preço

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-2.5-pro-batch`

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-2.5-pro-batch", "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-2.5-pro-batch",
      "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-2.5-pro-batch",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ],
    "max_tokens": 256
  }),
});
console.log(await r.json());

Requisição (JSON)

{
  "model": "google/gemini-2.5-pro-batch",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "max_tokens": 256
}

Resposta (JSON)

{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "model": "google/gemini-2.5-pro-batch",
  "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-2.5-pro-batch, prices checked 2026-11-04

Dados técnicos

ID: offer:vercel|google/gemini-2.5-pro-batch