Meta: Llama 4 Scout InstructActive

meta/llama-4-scout-17b-16e-instruct

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.

By:MetaInput Type:Output Type:Publish time:2025-04-04

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ProviderCache Hit RateContext

NovitaAI

novita

-$0.08/ M tokens$0.4/ M tokensRead:-/ M tokensWrite:-/ M tokens131.07K--

Uptime

24hours

Direct request success rate on AI Gateway and per-provider.

Throughput

24hours

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Latency

24hours

P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.

Activity

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Token Consumption

Benchmarks

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Metrics sourced fromArtificial Analysis

Apps

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