Question 1

What is the cost of Llama-3.3-70B-Instruct by Charm Hyper?

Accepted Answer

Llama-3.3-70B-Instruct by Charm Hyper costs $0.61 per 1M input tokens and $1.04 per 1M output tokens. Cache writes cost $0.30 per 1M tokens.

Question 2

What is the context window of Llama-3.3-70B-Instruct by Charm Hyper?

Accepted Answer

Llama-3.3-70B-Instruct by Charm Hyper has a context window of 128K tokens. It supports up to 128K input tokens and can generate up to 13K output tokens.

Question 3

What are the capabilities of Llama-3.3-70B-Instruct by Charm Hyper?

Accepted Answer

Llama-3.3-70B-Instruct by Charm Hyper supports tool calling/function calling, adjustable temperature. It has open weights.

Question 4

What input and output types does Llama-3.3-70B-Instruct support?

Accepted Answer

Llama-3.3-70B-Instruct by Charm Hyper accepts text as input and can generate text as output.

Question 5

Is Llama-3.3-70B-Instruct by Charm Hyper open source?

Accepted Answer

Yes, Llama-3.3-70B-Instruct by Charm Hyper has open weights, meaning the model weights are publicly available for download and self-hosting.

Question 6

Does Llama-3.3-70B-Instruct support function calling?

Accepted Answer

Yes, Llama-3.3-70B-Instruct by Charm Hyper 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-3.3-70B-Instruct?

Accepted Answer

Llama-3.3-70B-Instruct by Charm Hyper has a knowledge cutoff date of 2023-12. This means the model was trained on data available up until that date.

Llama-3.3-70B-Instruct API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)