Question 1

What is the cost of Llama-4-Scout-17B-16E-Instruct by Synthetic?

Accepted Answer

Llama-4-Scout-17B-16E-Instruct by Synthetic costs $0.15 per 1M input tokens and $0.60 per 1M output tokens.

Question 2

What is the context window of Llama-4-Scout-17B-16E-Instruct by Synthetic?

Accepted Answer

Llama-4-Scout-17B-16E-Instruct by Synthetic has a context window of 328K tokens. It supports up to 328K input tokens and can generate up to 4K output tokens.

Question 3

What are the capabilities of Llama-4-Scout-17B-16E-Instruct by Synthetic?

Accepted Answer

Llama-4-Scout-17B-16E-Instruct by Synthetic supports tool calling/function calling, adjustable temperature, file attachments. It has open weights.

Question 4

What input and output types does Llama-4-Scout-17B-16E-Instruct support?

Accepted Answer

Llama-4-Scout-17B-16E-Instruct by Synthetic accepts text, image as input and can generate text as output.

Question 5

Is Llama-4-Scout-17B-16E-Instruct by Synthetic open source?

Accepted Answer

Yes, Llama-4-Scout-17B-16E-Instruct by Synthetic has open weights, meaning the model weights are publicly available for download and self-hosting.

Question 6

Does Llama-4-Scout-17B-16E-Instruct support function calling?

Accepted Answer

Yes, Llama-4-Scout-17B-16E-Instruct by Synthetic supports tool calling (also known as function calling), allowing it to interact with external tools and APIs during conversations.

Question 7

What is the knowledge cutoff date for Llama-4-Scout-17B-16E-Instruct?

Accepted Answer

Llama-4-Scout-17B-16E-Instruct by Synthetic has a knowledge cutoff date of 2024-08. This means the model was trained on data available up until that date.

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

Input Modalities

Output Modalities

Standard (per 1M tokens)

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

Input Modalities

Output Modalities

Standard (per 1M tokens)