Llama 4 Scout 17B 16E Instruct
Chat Completions
llama-4-scout-17b-16e-instruct
Chat Completions
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model from 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, it is instruction-tuned for multilingual chat, captioning, and image understanding.
Pricing
Pay-as-you-go rates for this model. More details can be found here.
Input Tokens (1M)
$0.24
Output Tokens (1M)
$0.96
Capabilities
Input Modalities
Text
Image
Output Modalities
Text
Supported Parameters
Available parameters for API requests
Frequency Penalty
Logit Bias
Logprobs
Max Completion Tokens
Parallel Tool Calls
Presence Penalty
Reasoning Effort
Response Format
Stop
Temperature
Tool Choice
Tools
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