Meta Llama

Meta Llama: Llama 4 Maverick

meta-llama/llama-4-maverick

Access Llama 4 Maverick 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-maverick"
}).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-maverick"
        }).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-maverick",
    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-maverick",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

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.

Context Window 1M

tokens

Max Output 16K

tokens

Input Cost $0.15

per million tokens

Output Cost $0.6

per million tokens

Release Date Apr 5, 2025

 

Output Speed 113

tokens / sec

Latency 0.63s

time to first token

Model Playground

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

Chat meta-llama/llama-4-maverick
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Chat with Llama 4 Maverick
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Benchmarks

How Llama 4 Maverick performs on standard evaluations.

Artificial Analysis
Intelligence Index
18.4
Better than 49% of tracked models
Artificial Analysis
Coding Index
15.6
Better than 44% of tracked models
Artificial Analysis
Math Index
19.3
Better than 21% of tracked models
BenchmarkScore
GPQA Diamond Graduate-level science Q&A
67.1%
Humanity's Last Exam Cross-domain reasoning
4.8%
LiveCodeBench Recent coding problems
39.7%
SciCode Scientific programming
33.1%
MATH-500 Competition math
88.9%
AIME 2024 Advanced math exam
39.0%
AIME 2025 Advanced math exam
19.3%
IFBench Instruction following
43.0%
LCR Long-context reasoning
46.0%
Terminal-Bench Hard Agentic terminal tasks
6.8%
τ²-Bench Tool use / agents
17.8%

Scores sourced from Artificial Analysis.

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Frequently Asked Questions

How do I use Llama 4 Maverick?

You can access Llama 4 Maverick 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 Maverick free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Llama 4 Maverick 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 Maverick?
Pricing for Llama 4 Maverick is based on the number of input and output tokens used per request.
Price per 1M tokens
Input$0.15
Output$0.6
Who created Llama 4 Maverick?

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

What is the context window of Llama 4 Maverick?

Llama 4 Maverick 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 Llama 4 Maverick?

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

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

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

Read the Docs View Tutorials