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Meta (Llama)text+image->text

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.

Context Window

328K

Input Price

$0.0800/M tokens

Output Price

$0.3000/M tokens

Modality

text+image->text

Pricing Breakdown
Cost per million tokens for input and output
Input$0.0800/M tokens
Output$0.3000/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.001100

Context Window Size
Maximum tokens the model can process in a single request
Context Window328K tokens
33% of 1M max

~246K

Words Equivalent

~164

Pages of Text

~3277

Code Functions

Best Use Cases
What this model excels at
MathReasoningAnalysisVisionImage-analysisMultimodalChatConversationAssistantData-analysisAnalytics

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