Gemini 2.0 Flash API

Access Gemini 2.0 Flash from Google using Puter.js AI API.

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Model Card

Gemini 2.0 Flash is Google's fast multimodal model with native tool use, 1M token context window, and support for text, images, video, and audio input. It's optimized for agentic workflows with low latency and cost-efficient inference.

Context Window 131K

tokens

Max Output 8K

tokens

Input Cost $0.1

per million tokens

Output Cost $0.4

per million tokens

Input text, image, audio, video, pdf

modalities

Tool Use Yes

 

Knowledge Cutoff Jun 2024

 

Release Date Dec 11, 2024

 

API Usage Example

Add Gemini 2.0 Flash to your app with just a few lines of code.
No API keys, no backend, no configuration required.

// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "google/gemini-2.0-flash"
}).then(response => {
    document.body.innerHTML = response.message.content;
});

<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain quantum computing in simple terms", {
            model: "google/gemini-2.0-flash"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

View full documentation →

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Frequently Asked Questions

What is this Gemini 2.0 Flash API about?

The Gemini 2.0 Flash API gives you access to Google's chat model through Puter.js. With just a few lines of JavaScript, you can integrate Gemini 2.0 Flash into any web app or Node.js project — no API keys, no backend, and no configuration required.

Who created Gemini 2.0 Flash?

Gemini 2.0 Flash was created by Google and released on Dec 11, 2024.

What is the context window of Gemini 2.0 Flash?

Gemini 2.0 Flash supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.

What is the max output length of Gemini 2.0 Flash?

Gemini 2.0 Flash can generate up to 8K tokens in a single response.

What is the knowledge cutoff of Gemini 2.0 Flash?

Gemini 2.0 Flash has a knowledge cutoff date of Jun 2024. This means the model was trained on data available up to that date.

What types of input can Gemini 2.0 Flash process?

Gemini 2.0 Flash accepts the following input types: text, image, audio, video, pdf. It produces: text.

Does Gemini 2.0 Flash support tool use (function calling)?

Yes, Gemini 2.0 Flash supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

How much does it cost?
The Gemini 2.0 Flash API is available through the User-Pays Model. As a developer, you can add the Gemini 2.0 Flash API to your app for free — your users pay for their own AI costs directly.
Price per 1M tokens
Input$0.1
Output$0.4
How do I access the Gemini 2.0 Flash API?

You can access the Gemini 2.0 Flash API with just a few lines of JavaScript — no API keys, no backend, and no configuration required. Include the Puter.js library in your project and start making calls right away. For more details, check out our documentation.

Does the Gemini 2.0 Flash API work with React / Vue / Vanilla JS / Node / etc.?

Yes — the Gemini 2.0 Flash API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

Get started with Puter.js

Add Gemini 2.0 Flash to your app without worrying about API keys or setup.

Read the Docs View Tutorials