How much does Llama 4 Scout cost on Zeplik?

Input tokens cost 1.2 credits per million and output tokens 3.6 credits per million (1 credit = $0.10; the raw provider rates are $0.10 and $0.30 per million). New accounts start with free credits.

How long can a conversation with Llama 4 Scout be?

Llama 4 Scout has a 328K-token context window (327,680 tokens), which covers the conversation plus any documents you attach.

Does Llama 4 Scout support images and tools?

Llama 4 Scout accepts image input and supports tool calling.

Llama 4 Scout

Open weightVisionTools

Meta · Released April 2025 · Knowledge cutoff August 2024

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 belongs to Meta's open-weight Llama family: Llama 4 Maverick is the capability lead, Scout the efficient long-context sibling, Llama Guard the safety classifier, and the 3.x line remains a dependable workhorse.

Facts and pricing

Provider: Meta
Context window: 328K tokens
Input price: 1.2 credits / 1M tokens ($0.10 raw)
Output price: 3.6 credits / 1M tokens ($0.30 raw)
Vision (image input): Yes
Tool calling: Yes
Extended reasoning: No

Credits are what Zeplik bills: 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin. Raw prices shown per 1M tokens.

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What Llama 4 Scout is best for

Everyday chat and drafting on an open-weight model with transparent lineage
Long documents: the 328K-token window holds lengthy reports, contracts or papers whole
Working with images: screenshots, charts, photos and scanned documents alongside text
Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows

Example prompts

Prompts that suit a open weight model like Llama 4 Scout:

Draft a project update from these rough notes
Explain how HTTPS works to a curious teenager
Turn this list of features into a changelog entry
Brainstorm objections to this proposal and how to answer them

Meta family

Model	Context	Input cr/M	Output cr/M	Released
Llama Guard 4 12B	164K	2.2	2.2	April 2025
Llama 4 Maverick	128K	2.2	7.8	April 2025
Llama 4 Scout	328K	1.2	3.6	April 2025
Llama 3.3 70B Instruct	131K	1.2	3.8	December 2024
Llama 3.2 1B Instruct	60K	0.32	2.4	September 2024
Llama 3.2 3B Instruct	80K	0.61	4.0	September 2024
Llama 3.1 8B Instruct	131K	0.60	0.96	July 2024
Llama 3.1 70B Instruct	131K	8.6	8.6	July 2024

Compare Llama 4 Scout

Frequently asked questions

What is Llama 4 Scout?: Llama 4 Scout is an AI model by Meta. 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.
How much does Llama 4 Scout cost on Zeplik?: Input tokens cost 1.2 credits per million and output tokens 3.6 credits per million (1 credit = $0.10; the raw provider rates are $0.10 and $0.30 per million). New accounts start with free credits.
How long can a conversation with Llama 4 Scout be?: Llama 4 Scout has a 328K-token context window (327,680 tokens), which covers the conversation plus any documents you attach.
Does Llama 4 Scout support images and tools?: Llama 4 Scout accepts image input and supports tool calling.

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