Llama-4-Scout-17B-16E-Instruct-FP8

meta/llama-4-scout · rates as of 2026-08-05 · Benchmarks · Plans · Calculator

Open multimodal Llama model for long-context analysis and efficient agents

Cheapest input

$/MTok · models.dev

Cheapest output

$/MTok

Context

128K

tokens

Offers

2 sources

Offers

Same model, different listings. First-party, router, and aggregator rows stay separate so you can see the spread instead of a single blended number. Showing free/$0 offers. Hide them.

Source	Provider	Input	Output	Cache read	Context
models.devcheapestmeta/llama-4-scout	Vercel AI Gateway	$0	$0	$0	128K
LiteLLMmeta/llama-4-scout	—	$0.1	$0.3	$0.01	—

Capabilities

Tool calling
Attachments
Open weights
In: text
In: image
Out: text

Knowledge cutoff: 2024-08Released: 2025-04-05Family: llama

Scores

Sparse coverage on purpose. Missing a score means we have not linked one yet, not that the model is unranked. Full boards on /benchmarks.

Sources: Arena AI, Artificial Analysis. See /benchmarks.

See what you actually spent

tokenstat prices your local sessions at list rates like these, with the cache split kept honest. Free, open source, runs on your machine.

$ curl -fsSL https://tokenstat.ai/install.sh | bash