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Meta: llama-4-scout:free

llama-4-scout:free
131.1K context8.2K outToolsVisionStructured
Released Apr 5, 2025Knowledge cutoff Aug 2024Updated Oct 29, 2026

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.

Mode chatTokenizer Llama4Quantization fp8meta-llama/Llama-4-Scout-17B-16E-Instruct

Inputs used for the providers' own purposes

At least one provider of this model uses your inputs for its own purposes, for example to train AI models. Do not enter personal data of third parties or sensitive data. You can object to this use at any time in your account settings or via "Manage consents" in the chat.

Read the privacy policy

Pricing

Input price
$0.00/ 1M tokens
Output price
$0.00/ 1M tokens
Context window 131.1K tokensCompatible endpoints openaiVendor MetaProvider Routerah

Uptime

Performance

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Usage & Ranking

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Supported parameters

All providers = every upstream serving this model supports it. Some providers = depends on which upstream handles the request. Default = the value sent when you leave the parameter unset.

ParameterProvidersDefault
frequency_penaltyAll providers-
logit_biasAll providers-
max_tokensAll providers-
min_pAll providers-
presence_penaltyAll providers-
repetition_penaltyAll providers-
response_formatSome providers-
seedAll providers-
stopAll providers-
structured_outputsAll providers-
temperatureAll providers-
tool_choiceAll providers-
toolsAll providers-
top_kAll providers-
top_pAll providers-

Frequently asked questions

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