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.

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

Input, $/1M $0.62

Output, $/1M $5.00

Cache read $0.12

Cache write —

Context 1 048 576

Max output 65 535

Accepts images, pdf, text

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-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());

Request (JSON)

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

Response (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
  }
}

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-2.5-pro-batch, prices checked 2026-11-04

Technical details

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