Google: Gemini 2.0 Flash

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Gemini 2.0 Flash 001 is a stable versioned release of Gemini 2.0 Flash, Google's fast multimodal workhorse model. It provides consistent behavior for production deployments with native tool use and 1M token context support.

Context Window 1M

tokens

Max Output 8K

tokens

Input Cost $0.1

per million tokens

Output Cost $0.4

per million tokens

Release Date Feb 5, 2025

 

Code Example

Add AI to your app with the Puter.js AI API — no API keys or setup required.

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

puter.ai.chat("Explain quantum computing in simple terms").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").then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

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Gemma 4 31B is a dense multimodal model from Google DeepMind, built on the same research foundation as Gemini 3. It is the most capable model in the Gemma 4 family, accepting text, image, and video input with a 256K-token context window. It delivers strong benchmark results: 89.2% on AIME 2026, 85.2% on MMLU Pro, 80.0% on LiveCodeBench v6, and 84.3% on GPQA Diamond. On the Arena AI text leaderboard, it ranks as the #3 open model globally, outperforming many models with far higher parameter counts. Gemma 4 31B features native function calling trained into the model, configurable chain-of-thought reasoning, and structured JSON output — making it especially well-suited for agentic workflows, coding tasks, and multi-turn tool use. It supports over 140 languages and serves as a strong foundation for fine-tuning.

Frequently Asked Questions

How do I use Gemini 2.0 Flash?

You can access Gemini 2.0 Flash by Google through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.

Is Gemini 2.0 Flash free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Gemini 2.0 Flash to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for Gemini 2.0 Flash?
Gemini 2.0 Flash costs $0.1 per 1M input tokens and $0.4 per 1M output tokens.
Price per 1M tokens
Input$0.1
Output$0.4
Who created Gemini 2.0 Flash?

Gemini 2.0 Flash was created by Google and released on Feb 5, 2025.

What is the context window of Gemini 2.0 Flash?

Gemini 2.0 Flash supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,097 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.

How does Gemini 2.0 Flash perform on benchmarks?

Gemini 2.0 Flash scores 18.5 on the Artificial Analysis Intelligence Index, outperforming 45% of tracked models. On coding, it scores 13.6 (outperforms 32% of models). On math, it scores 21.7 (outperforms 23% of models).

Does it 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.

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