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Llama 4 Scout

by Meta

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.

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Capabilities

Vision

Pricing

Input Tokens
Per 1M tokens
Free
Output Tokens
Per 1M tokens
Free
Image Processing
Per 1M tokens
$334.20/1M tokens

Supported Modalities

Input

text
image

Output

text

Performance Benchmarks

Intelligence Index
Overall intelligence score
13.7
Coding Index
Programming capability
6.6
Math Index
Mathematical reasoning
14.0
GPQA
Graduate-level questions
58.7%
MMLU Pro
Multitask language understanding
75.2%
HLE
Human-like evaluation
4.3%
LiveCodeBench
Real-world coding tasks
29.9%
AIME 2025
Advanced mathematics
14.0%
MATH 500
Mathematical problem solving
84.4%

Specifications

Context Length
328K tokens
Provider
Meta
Throughput
117.651 tokens/s
Released
Apr 5, 2025
Model ID
meta-llama/llama-4-scout

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