Meta: llama-4-scout:free
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.
价格
性能
使用量与排名
支持的参数
所有提供方:为该模型提供服务的每个上游都支持。部分提供方:取决于处理请求的上游。默认值:未设置时发送的值。
| 参数 | 提供方 | 默认值 |
|---|---|---|
| frequency_penalty | 部分提供方 | - |
| logit_bias | 部分提供方 | - |
| max_tokens | 所有提供方 | - |
| min_p | 部分提供方 | - |
| presence_penalty | 部分提供方 | - |
| repetition_penalty | 部分提供方 | - |
| response_format | 部分提供方 | - |
| seed | 所有提供方 | - |
| stop | 所有提供方 | - |
| structured_outputs | 部分提供方 | - |
| temperature | 所有提供方 | - |
| tool_choice | 部分提供方 | - |
| tools | 部分提供方 | - |
| top_k | 部分提供方 | - |
| top_p | 所有提供方 | - |