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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.

At a glance

Input / 1M
$0.10
Output / 1M
$0.30
Context
1.31M
Max output
16K
Intelligence
8.1
Released
Apr 2025
Text inputImage inputTool calling

Pricing

Llama 4 Scout API pricing

Per-token rates, plus what common tasks actually cost.

Input tokensPer 1M tokens$0.10
Output tokensPer 1M tokens$0.30
Cached input (read)Per 1M tokensNot available
Cache writePer 1M tokensNot available

Chat message

2K in, 500 out

$0.35

per 1,000 requests

Coding task

30K in, 4K out

$4.20

per 1,000 requests

Long document summary

150K in, 2K out

$15.60

per 1,000 requests

Benchmarks

Llama 4 Scout benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

8.1

Coding index

8.2

Agentic index

0.5

Specs

Context window and capabilities

What it can read, what it can write, and which API features it supports.

Context window
1.31M tokens
Max output
16K tokens
Input types
Image, Text
Output types
Text
Reasoning effort
Not available
Release date
April 5, 2025
Knowledge cutoff
August 31, 2024
  • Tool calling
  • Structured outputs
  • JSON mode
  • Reasoning
  • Temperature
  • Stop sequences
  • Deterministic seed
  • Verbosity control

FAQ

Frequently asked questions

How much does Llama 4 Scout cost?

Llama 4 Scout costs $0.10 per 1M input tokens and $0.30 per 1M output tokens through the API. A typical chat message costs about $0.35 per 1,000 messages.

What is the context window of Llama 4 Scout?

Llama 4 Scout accepts up to 1.31M tokens of input and can write up to 16K tokens in a single response.

What is the best alternative to Llama 4 Scout?

Gemini 2.5 Flash Lite from Google is a strong alternative. It offers: higher intelligence score, accepts file and audio and video, newer release.

Can I use Llama 4 Scout alongside other models?

Yes. Shortcut Chat sends one prompt to Llama 4 Scout and any other models you pick at the same time, so you can compare answers side by side.

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Try Llama 4 Scout next to every other model.

Use Llama 4 Scout alongside all the other models. Use one at a time, or multiple together. Get the best answer from every AI.