Gemini 2.0 Flash

New
Popular
Google DeepMind
Text & Chat

Google's fastest multimodal model. Supports text, images, audio, and video input.

Try Gemini 2.0 Flash

0.7

Sign in to generate — 50 free credits on sign-up

Examples

See what Gemini 2.0 Flash can generate

Data Extraction

Extract all dates, names, and locations from this text: 'On March 15, 2024, Dr. Sarah Mitchell presented her findings at the Berlin Conference Center. Her colleague James Wu joined via video from Tokyo.'

Dates: March 15, 2024 Names: Dr. Sarah Mitchell, James Wu Locations: Berlin Conference Center (Berlin), Tokyo

Brainstorming

Give me 5 unique app ideas that combine fitness with social gaming

1) StepQuest – An RPG where your real-world steps power your character through dungeons, and friends can join as party members. 2) PulseRacer – Heart rate-based racing game where your cardio intensity controls your car's speed in real-time multiplayer. 3) FlexTown – Build a virtual city where each building unlocks only after completing specific workout challenges with friends. 4) GymBounty – A bounty-hunter game where players earn rewards by completing fitness challenges posted by other users. 5) TrailTales – Collaborative storytelling app where each chapter unlocks after your running group collectively logs enough miles.

Pricing

Price per Generation
Per generationFree

API Integration

Use our OpenAI-compatible API to integrate Gemini 2.0 Flash 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-2-flash", "Hello! What can you do?");
console.log(reply);

// With message history
const reply2 = await rw.run("gemini-2-flash", [
  { 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-2-flash", [
  { role: "user", content: "Hello!" },
], { temperature: 0.7, max_tokens: 500 });
console.log(res.choices[0].message.content);
console.log(res.usage);
Specifications
Context window
1,000,000 tokens
Max output
8,192 tokens
Avg. latency
1.2s
Developer
Google DeepMind
Category
Text & Chat
Tags
fast
multimodal
affordable

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