Meta Llama

Meta Llama: Llama 4 Scout

meta-llama/llama-4-scout

Access Llama 4 Scout from Meta Llama using Puter.js AI API.

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

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "meta-llama/llama-4-scout"
}).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: "meta-llama/llama-4-scout"
        }).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="meta-llama/llama-4-scout",
    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": "meta-llama/llama-4-scout",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

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.

Context Window 328K

tokens

Max Output 16K

tokens

Input Cost $0.08

per million tokens

Output Cost $0.3

per million tokens

Release Date Apr 5, 2025

 

Output Speed 129

tokens / sec

Latency 0.52s

time to first token

Model Playground

Try Llama 4 Scout instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat meta-llama/llama-4-scout
Meta Llama
Chat with Llama 4 Scout
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Benchmarks

How Llama 4 Scout performs on standard evaluations.

Artificial Analysis
Intelligence Index
13.5
Better than 30% of tracked models
Artificial Analysis
Coding Index
6.7
Better than 14% of tracked models
Artificial Analysis
Math Index
14.0
Better than 17% of tracked models
BenchmarkScore
GPQA Diamond Graduate-level science Q&A
58.7%
Humanity's Last Exam Cross-domain reasoning
4.3%
LiveCodeBench Recent coding problems
29.9%
SciCode Scientific programming
17.0%
MATH-500 Competition math
84.4%
AIME 2024 Advanced math exam
28.3%
AIME 2025 Advanced math exam
14.0%
IFBench Instruction following
39.5%
LCR Long-context reasoning
25.8%
Terminal-Bench Hard Agentic terminal tasks
1.5%
τ²-Bench Tool use / agents
15.5%

Scores sourced from Artificial Analysis.

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Frequently Asked Questions

How do I use Llama 4 Scout?

You can access Llama 4 Scout 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 4 Scout free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Llama 4 Scout 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 4 Scout?
Pricing for Llama 4 Scout is based on the number of input and output tokens used per request.
Price per 1M tokens
Input$0.08
Output$0.3
Who created Llama 4 Scout?

Llama 4 Scout was created by Meta Llama and released on Apr 5, 2025.

What is the context window of Llama 4 Scout?

Llama 4 Scout supports a context window of 328K tokens. For reference, that is roughly equivalent to 655 pages of text.

What is the max output length of Llama 4 Scout?

Llama 4 Scout can generate up to 16K tokens in a single response.

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

Yes — the Llama 4 Scout 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 Llama 4 Scout to your app without worrying about API keys or setup.

Read the Docs View Tutorials