Meta: Llama 4 Scout
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.
OpenRouter 원가 (1M 토큰)
인보이스랩 (월 예상)
입력 0.5M + 출력 0.5M 기준
모델 정보
기본 정보
| 모델 ID | meta-llama/llama-4-scout |
| 제공사 | Meta |
| 컨텍스트 윈도우 | 327,680 토큰 |
| 모달리티 | text+image->text |
지원 기능
API 사용법
Python (OpenAI SDK 호환)
from openai import OpenAI
client = OpenAI(
api_key="your-dream-api-key",
base_url="https://api.invoicedream.co.kr/v1"
)
response = client.chat.completions.create(
model="meta-llama/llama-4-scout",
messages=[
{"role": "user", "content": "안녕하세요"}
]
)
print(response.choices[0].message.content)Node.js / TypeScript
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: 'your-dream-api-key',
baseURL: 'https://api.invoicedream.co.kr/v1'
});
const response = await client.chat.completions.create({
model: 'meta-llama/llama-4-scout',
messages: [{ role: 'user', content: '안녕하세요' }]
});
console.log(response.choices[0].message.content);cURL
curl https://api.invoicedream.co.kr/v1/chat/completions \
-H "Authorization: Bearer your-dream-api-key" \
-H "Content-Type: application/json" \
-d '{
"model": "meta-llama/llama-4-scout",
"messages": [{"role": "user", "content": "안녕하세요"}]
}'💡 Tip: OpenAI SDK를 그대로 사용할 수 있습니다.base_url만 변경하면 됩니다!