// meta-llama

Llama 4 Scout

meta-llama/llama-4-scout

tool callingimage input
OpenRouter + LiveBenchAll modelsFull leaderboard

Llama 4 Scout costs $0.100 per 1M input tokens and $0.300 per 1M output tokens with a 1.3M-token context window.

A tool-calling model from meta-llama, released Apr 5, 2025. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.

Input / 1M
$0.100
Output / 1M
$0.300
Context
1.3M
LiveBench overall
Not evaluated

Specs and pricing

Input price

USD per 1M prompt tokens

$0.100
Output price

USD per 1M completion tokens, reasoning included

$0.300
Blended price

3:1 input:output — #60 cheapest of 343 listed models

$0.150
Cached input read

Blank means not priced separately — not free

Cache write
Context window1,310,720 tokens
Max output16,384 tokens
Input modalitiestext, image
Tool callingYes
Extended reasoningNo
Knowledge cutoff2024-08-31
ListedApr 5, 2025
All Meta (meta-llama) API pricing

What Llama 4 Scout costs to run

Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.

WorkloadPer month
Support chatbot

1.2K in / 400 out × 200K requests

$48.00/mo
RAG assistant

8K in / 600 out × 100K requests

$98.00/mo
Coding agent

40K in / 4K out × 20K requests

$104.00/mo
Document extraction

20K in / 1.5K out × 50K requests

$122.50/mo
Bulk classification

500 in / 20 out × 5M requests

$280.00/mo
Price your own workload

Compare Llama 4 Scout with

Benchmarked models at a similar price.

Llama 4 Scout FAQ

How much does Llama 4 Scout cost?

Llama 4 Scout lists at $0.100 per 1M input tokens and $0.300 per 1M output tokens. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $98.00 at list price.

What is the context window of Llama 4 Scout?

Llama 4 Scout accepts up to 1,310,720 tokens of context and can return up to 16,384 output tokens per response.

Does Llama 4 Scout support tool calling?

Yes — Llama 4 Scout supports tool (function) calling. It accepts text, image input.

How does Llama 4 Scout score on benchmarks?

LiveBench has not published a run for Llama 4 Scout yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.

What is the API model ID for Llama 4 Scout?

On OpenRouter the model ID is "meta-llama/llama-4-scout". It was listed on Apr 5, 2025.

More from meta-llama

How these numbers are produced

  • Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
  • Scores and ranksLiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
  • Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.

Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.