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>
More AI Models From Meta Llama
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ChatMuse Spark 1.1
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ChatLlama 4 Maverick
Llama 4 Maverick is Meta's 400 billion total parameter MoE model with 17B active parameters and 128 experts, supporting 1M token context. It's natively multimodal with state-of-the-art performance on coding, reasoning, and image understanding tasks.
Frequently Asked Questions
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.
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.
| Price per 1M tokens | |
|---|---|
| Input | $4 |
| Output | $4 |
Llama 3.1 405B (base) was created by Meta Llama and released on Jul 23, 2024.
Llama 3.1 405B (base) can generate up to 33K tokens in a single response.
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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