Sobre

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.

Família do Modelo

Meta: Llama Guard 4 12B2025-04-30 Llama 4 Maverick2025-04-05 Llama 4 Scout 17B 16E Instruct2025-04-02 Llama Guard 3 8B2025-02-12 Llama 3.3 Instruct 70B2024-12-06 Meta: Llama 3.3 70B Instruct2024-12-06 Meta: Llama 3.3 70B Instruct (free)2024-12-06 Llama 3.2 Instruct 90B (Vision)2024-09-25

Benchmarks

MMLU-Pro

75.2%

GPQA Diamond

58.7%

HLE

4.3%

LiveCodeBench

29.9%

SciCode

17.0%

TerminalBench Hard

1.5%

MATH-500

84.4%

AIME

28.3%

AIME 2025

14.0%

IFBench

39.5%

Long Context Recall

25.8%

Tau2

15.5%

Média do MercadoMelhor Score

Llama 4 Scout

Sobre

Família do Modelo

Posição no Mercado

Preços

Calculadora de Custo

vs. Modelos Similares

Desempenho

Benchmarks

Open Source

Comparação Rápida

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