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.
meta-llama/llama-4-scout
- Contexto
- 1M tokens
- Máx. completion
- 16,384
- Tools
- Sí
- JSON
- Sí
- Lanzamiento
- 2025-04-05
Llámalo desde Geek Hub
El mismo SDK de OpenAI. Cambia el base URL y el id del modelo.
curl https://api.geekhub.mx/v1/chat/completions \
-H "Authorization: Bearer $GEEKHUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meta-llama/llama-4-scout",
"messages": [{"role": "user", "content": "Hola"}]
}'Consigue tu API keyPreguntas frecuentes
- ¿Qué es 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. Llama 4 Scout corre en el API de Geek Hub (compatible con OpenAI). Id: meta-llama/llama-4-scout.
- ¿Llama 4 Scout es gratis?
- No. El input cuesta $0.109 / 1M tokens y el output $0.327 / 1M tokens en Geek Hub (markup incluido).
- ¿Cuál es el contexto de Llama 4 Scout?
- Llama 4 Scout tiene una ventana de 1M tokens. Soporta hasta 16,384 tokens de completion.
- ¿Llama 4 Scout soporta tool calling y structured outputs?
- Llama 4 Scout acepta tools y tool_choice para function calling. También soporta structured outputs con un JSON schema en response_format.
- ¿Cuándo se lanzó Llama 4 Scout?
- Llama 4 Scout se lanzó el 5 de abril de 2025.
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