Question 1

What is the cost of Llama 3.3 70b Instruct by NanoGPT?

Accepted Answer

Llama 3.3 70b Instruct by NanoGPT costs $0.05 per 1M input tokens and $0.23 per 1M output tokens. Cached reads cost $0.03 per 1M tokens.

Question 2

What is the context window of Llama 3.3 70b Instruct by NanoGPT?

Accepted Answer

Llama 3.3 70b Instruct by NanoGPT has a context window of 131K tokens. It supports up to 131K input tokens and can generate up to 16K output tokens.

Question 3

What are the capabilities of Llama 3.3 70b Instruct by NanoGPT?

Accepted Answer

Llama 3.3 70b Instruct by NanoGPT supports tool calling/function calling, structured output, 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 NanoGPT accepts text as input and can generate text as output.

Question 5

Is Llama 3.3 70b Instruct by NanoGPT open source?

Accepted Answer

Yes, Llama 3.3 70b Instruct by NanoGPT 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 NanoGPT 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 NanoGPT 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)