Gemini 1.5 Pro (vision)

Popular
Google DeepMind
Multimodal

Google Gemini 1.5 Pro with native multimodal input. Reads images, long PDFs, audio and video in up to a 2M-token context, useful for whole-document and long-video understanding.

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TL;DR·Last updated June 24, 2026

Gemini 1.5 Pro (vision) is multimodal AI model from Google DeepMind, priced at €0.001 per 1M input tokens with a 2.1M tokens context window.

About this model

Gemini 1.5 Pro accepts text, images, audio and video tokens in a single pass with a context window up to 2M tokens. That lets it ingest entire PDFs, hour-long videos or large image sets and answer questions across them. Common uses: long-document visual QA, video summarization and frame-level analysis, and mixed media extraction. Function calling and JSON output are first-class via the Gemini API.
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0.7

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Pricing

Price per Generation
Per generationFree

API Integration

Use our OpenAI-compatible API to integrate Gemini 1.5 Pro (vision) into your application.

Install
npm install railwail
JavaScript / TypeScript
import railwail from "railwail";

const rw = railwail("YOUR_API_KEY");

// Simple — just pass a string
const reply = await rw.run("gemini-1-5-pro-vision", "Hello! What can you do?");
console.log(reply);

// With message history
const reply2 = await rw.run("gemini-1-5-pro-vision", [
  { role: "system", content: "You are a helpful assistant." },
  { role: "user", content: "Explain quantum computing simply." },
]);
console.log(reply2);

// Full response with usage info
const res = await rw.chat("gemini-1-5-pro-vision", [
  { role: "user", content: "Hello!" },
], { temperature: 0.7, max_tokens: 500 });
console.log(res.choices[0].message.content);
console.log(res.usage);
Specifications
Context window
2,097,152 tokens
Max output
8,192 tokens
Developer
Google DeepMind
Category
Multimodal
Supported Formats
text
image
audio
video
Tags
google
gemini
vision
multimodal
long-context
video-understanding

Frequently asked questions

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