Question 1

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

Accepted Answer

Cerebras-Llama-4-Scout-17B-16E-Instruct by Llama costs Free per 1M input tokens and Free per 1M output tokens.

Question 2

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

Accepted Answer

Cerebras-Llama-4-Scout-17B-16E-Instruct by Llama has a context window of 128K tokens. It supports up to 128K input tokens and can generate up to 4K output tokens.

Question 3

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

Accepted Answer

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

Question 4

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

Accepted Answer

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

Question 5

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

Accepted Answer

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

Question 6

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

Accepted Answer

Yes, Cerebras-Llama-4-Scout-17B-16E-Instruct by Llama 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 Cerebras-Llama-4-Scout-17B-16E-Instruct?

Accepted Answer

Cerebras-Llama-4-Scout-17B-16E-Instruct by Llama has a knowledge cutoff date of 2025-01. This means the model was trained on data available up until that date.

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

Input Modalities

Output Modalities

Standard (per 1M tokens)