Llama 4 Scout

Metameta-llama/llama-4-scoutProviders: 3
Inputi$0.10per 1M tokens
Outputi$0.30per 1M tokens
Contexti1.3M1,310,720 tokens
ReleasedApr 5, 2025Max output: 16K

Where it stands

Quality in independent tests against price, next to 135 other models. Up means more capable, left means cheaper.

100110120130140150160170$0.01$0.03$0.1$0.3$1$3$10$30$100Overall indexPrice per million tokens, log scale (3 parts input to 1 part output)↖ Cheaper and smarterLlama 4 Scout
Scores: Epoch AI (CC BY 4.0). Prices: OpenRouter. View as a table

About this model

Llama 4 Scout is an AI model from Meta, made available through the API on April 5, 2025. It can read up to 1,310,720 tokens in one request, roughly 2,458 pages of text, and write up to 16,384 tokens in a single answer. Besides text, it accepts images as input.

Through the API it costs $0.10 per million input tokens and $0.30 per million output tokens. Its pricing puts it among the more affordable models we track, which makes it a good fit for high-volume tasks.

It can call tools and functions, so developers can connect it to search, databases or other software. Its weights are openly published (meta-llama/Llama-4-Scout-17B-16E-Instruct), so it can also be downloaded and run on your own hardware.

Quality scores

Rankings →
129.6Overall index · #115 of 136

Benchmark data: Epoch AI, licensed CC BY 4.0

Where to use it

Companies that serve this model through an API: 3. Prices per million tokens, cheapest first.

ProviderInputiOutputiContextiUptime (24 h)i
DeepInfraCheapestfp8
$0.10$0.30320K99.9%
Novitabf16
$0.18$0.59128K99.9%
Google
$0.25$0.701.3M—

Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.

Use it in your code

Call Llama 4 Scout through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "meta-llama/llama-4-scout", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'

The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.

What it costs in practice

  • 1,000 chat replies
    ≈ 500 tokens in, 300 out each
    $0.14
  • Summarise a 100-page document
    ≈ 50,000 tokens in, 1,000 out
    $0.0053
  • An app with 10,000 requests a day for a month
    ≈ 1,000 tokens in, 400 out each
    $66.00

Cost calculator →

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News about Meta

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Frequently asked questions

How much does Llama 4 Scout cost?
Llama 4 Scout costs $0.10 per million input tokens and $0.30 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $0.14.
What is the context window of Llama 4 Scout?
Llama 4 Scout can read up to 1,310,720 tokens in one request, about 2,458 pages of text. It can write up to 16,384 tokens in a single answer.
Is Llama 4 Scout open source?
Yes. Its weights are published (meta-llama/Llama-4-Scout-17B-16E-Instruct), so you can download it and run it on your own hardware, or use it through one of 3 API providers.
Who makes Llama 4 Scout?
Llama 4 Scout is made by Meta. It became available through the API on April 5, 2025.
How good is Llama 4 Scout?
Llama 4 Scout has an overall index of 129.6 in Epoch AI’s independent tests, ranking #115 of 136 models we track.
Can Llama 4 Scout read images?
Yes. Besides text, it accepts images as input.
What are the alternatives to Llama 4 Scout?
Models with a similar price from other companies include GPT-6 Luna Pro, Reka Edge and Qwen3.5-9B. You can compare them side by side on this page.