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Core routes

Keep clicks and crawl depth focused on the few pages that resolve intent fastest.

Already holding a key? Check it first, then keep reading.
Confirm ownership, visible models, and resale signals before deciding whether models, pricing, protocols, or providers matter next.
Model catalog profile

Meta: Llama 4 Scout | API profile

Start with Meta: Llama 4 Scout model ID, modality, and parameter surface, then decide whether to continue to a key check or integration test.

Provider
Meta
14 models in catalog
Context
327,680
global model route
Input
$0.08
USD / 1M tokens
Output
$0.30
USD / 1M tokens

What this page answers

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...

  • Meta · meta-llama/llama-4-scout
  • text+image->text · global model route
  • 327,680 context · $0.08 input

Before connecting

Do not stop at the model name. Before integration, verify base URL, protocol, visible models, parameters, and limits together.

  • supports frequency_penalty
  • supports max_tokens
  • supports min_p
  • supports presence_penalty
  • supports repetition_penalty

Next action

After this page, the usual next step is to open the model profile, the provider profile, or run a key check to confirm the real callable range.

  • Check whether the model fits the use case
  • Then verify key permission and callable models