LogoTop AI Hubs

Meta: Llama 4 Scout

Other
Text
Paid

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input (text and image) and multilingual output (text and code) across 12 supported languages. Designed for assistant-style interaction and visual reasoning, Scout uses 16 experts per forward pass and features a context length of 10 million tokens, with a training corpus of ~40 trillion tokens. Built for high efficiency and local or commercial deployment, Llama 4 Scout incorporates early fusion for seamless modality integration. It is instruction-tuned for use in multilingual chat, captioning, and image understanding tasks. Released under the Llama 4 Community License, it was last trained on data up to August 2024 and launched publicly on April 5, 2025.

Parameters

-

Context Window

1,048,576

tokens

Input Price

$0.08

per 1M tokens

Output Price

$0.3

per 1M tokens

Capabilities

Model capabilities and supported modalities

Performance

Reasoning

Excellent reasoning capabilities with strong logical analysis

Math

-

Coding

Specialized in code generation with excellent programming capabilities

Knowledge

-

Modalities

Input Modalities

text

Output Modalities

text

LLM Price Calculator

Calculate the cost of using this model

$0.000120
$0.000900
Input Cost:$0.000120
Output Cost:$0.000900
Total Cost:$0.001020
Estimated usage: 4,500 tokens

Monthly Cost Estimator

Based on different usage levels

Light Usage
$0.0038
~10 requests
Moderate Usage
$0.0380
~100 requests
Heavy Usage
$0.3800
~1000 requests
Enterprise
$3.8000
~10,000 requests
Note: Estimates based on current token count settings per request.
Last Updated: 2025/05/06