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Llama 4 Scout 17B 16E Instruct

meta-llama/llama-4-scout
Chatother
Meta Llama|
Function CallingVision
|Released Apr 2025 · Updated May 2025

Llama 4 Scout 17B 16E Instruct (meta-llama/llama-4-scout) is a llama4 model from Meta Llama with a 10,000,000-token context window and 16,384 max output tokens, priced at $0.08/1M input and $0.30/1M output tokens. Available via the haimaker.ai OpenAI-compatible API.

Context Window
10M
tokens
Max Output
16K
tokens
Input Price
$0.08
/1M tokens
Output Price
$0.30
/1M tokens

Overview

Llama 4 Scout is a chat model by Meta Llama. It supports a 10M token context window. Supports function calling, vision.

Features & Capabilities

Modechat
Context Window10,000,000 tokens
Max Output16,384 tokens
Function CallingSupported
VisionSupported
Reasoning-
Web Search-
Url Context-

Technical Details

ArchitectureLlama4ForConditionalGeneration
Model Typellama4
Base Modelmeta-llama/Llama-4-Scout-17B-16E
Languagesar, de, en, es, fr, hi, id, it, pt, th, tl, vi
Librarytransformers

API Usage

from openai import OpenAI

client = OpenAI(
    base_url="https://api.haimaker.ai/v1",
    api_key="YOUR_API_KEY",
)

response = client.chat.completions.create(
    model="meta-llama/llama-4-scout",
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ],
)

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

Frequently Asked Questions

What is the context window of Llama 4 Scout 17B 16E Instruct?

Llama 4 Scout 17B 16E Instruct (meta-llama/llama-4-scout) has a 10,000,000-token context window and supports up to 16,384 output tokens per request.

How much does Llama 4 Scout 17B 16E Instruct cost?

Llama 4 Scout 17B 16E Instruct is priced at $0.08 per 1M input tokens and $0.30 per 1M output tokens when accessed via the haimaker.ai OpenAI-compatible API.

What features does Llama 4 Scout 17B 16E Instruct support?

Llama 4 Scout 17B 16E Instruct supports function calling, vision.

How do I use Llama 4 Scout 17B 16E Instruct via API?

Send requests to https://api.haimaker.ai/v1/chat/completions with model "meta-llama/llama-4-scout" using any OpenAI-compatible SDK. Authentication uses a Bearer API key from https://app.haimaker.ai.

Use Llama 4 Scout 17B 16E Instruct with the haimaker API

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