Meta Llama: Llama 3.1 405B (base)

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Llama 3.1 405B is Meta's flagship open-source large language model with 405 billion parameters, supporting 128K context length and 8 languages. It offers capabilities comparable to leading closed models for advanced reasoning, coding, and multilingual tasks.

Context Window N/A

tokens

Max Output 33K

tokens

Input Cost $4

per million tokens

Output Cost $4

per million tokens

Release Date Jul 23, 2024

 

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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Frequently Asked Questions

How do I use Llama 3.1 405B (base)?

You can access Llama 3.1 405B (base) by Meta Llama 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 Llama 3.1 405B (base) free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Llama 3.1 405B (base) 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 Llama 3.1 405B (base)?
Llama 3.1 405B (base) costs $4 per 1M input tokens and $4 per 1M output tokens.
Price per 1M tokens
Input$4
Output$4
Who created Llama 3.1 405B (base)?

Llama 3.1 405B (base) was created by Meta Llama and released on Jul 23, 2024.

What is the max output length of Llama 3.1 405B (base)?

Llama 3.1 405B (base) can generate up to 33K tokens in a single response.

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the Llama 3.1 405B (base) 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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