Gemini 1.5 Flash (vision)

Google DeepMind
Multimodal

Google Gemini 1.5 Flash, the fast low-cost multimodal model. 1M-token context, image/audio/video input, good for high-volume captioning, classification and long-video skim tasks.

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TL;DRΒ·Last updated June 24, 2026

Gemini 1.5 Flash (vision) is multimodal AI model from Google DeepMind, priced at €0.000 per 1M input tokens with a 1.0M tokens context window.

About this model

Gemini 1.5 Flash is the latency- and cost-optimized member of the 1.5 family while keeping native multimodal input and a 1M-token context. It handles images, audio and video and is a practical default for high-throughput visual workloads: bulk captioning and tagging, content moderation, screenshot reading for agents, and quick passes over long videos before sending hard cases to a Pro model.
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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 Flash (vision) into your application.

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

const rw = railwail("YOUR_API_KEY");

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

// With message history
const reply2 = await rw.run("gemini-1-5-flash-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-flash-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
1,048,576 tokens
Max output
8,192 tokens
Developer
Google DeepMind
Category
Multimodal
Supported Formats
text
image
audio
video
Tags
google
gemini
vision
multimodal
cost-efficient
long-context

Frequently asked questions

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