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

 

API Usage Example

Add AI to your app with just a few lines of code.
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").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>

# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.puter.com/puterai/openai/v1/",
    api_key="YOUR_PUTER_AUTH_TOKEN",
)

response = client.chat.completions.create(
    model="MODEL_ID",
    messages=[
        {"role": "user", "content": "Explain quantum computing in simple terms"}
    ],
)

print(response.choices[0].message.content)

curl https://api.puter.com/puterai/openai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
  -d '{
    "model": "MODEL_ID",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

View full documentation →

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Llama 4 Scout

Llama 4 Scout is Meta's efficient 109 billion parameter MoE model with 17B active parameters and 16 experts, featuring an industry-leading 10M token context window. It fits on a single H100 GPU and handles multimodal text and image inputs.

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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)?
Pricing for Llama 3.1 405B (base) is based on the number of input and output tokens used per request.
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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