Question 1

What is the cost of Kimi-K2-Instruct by Hugging Face?

Accepted Answer

Kimi-K2-Instruct by Hugging Face costs $1.00 per 1M input tokens and $3.00 per 1M output tokens.

Question 2

What is the context window of Kimi-K2-Instruct by Hugging Face?

Accepted Answer

Kimi-K2-Instruct by Hugging Face 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 Kimi-K2-Instruct by Hugging Face?

Accepted Answer

Kimi-K2-Instruct by Hugging Face supports tool calling/function calling, adjustable temperature. It has open weights.

Question 4

What input and output types does Kimi-K2-Instruct support?

Accepted Answer

Kimi-K2-Instruct by Hugging Face accepts text as input and can generate text as output.

Question 5

Is Kimi-K2-Instruct by Hugging Face open source?

Accepted Answer

Yes, Kimi-K2-Instruct by Hugging Face has open weights, meaning the model weights are publicly available for download and self-hosting.

Question 6

Does Kimi-K2-Instruct support function calling?

Accepted Answer

Yes, Kimi-K2-Instruct by Hugging Face 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 Kimi-K2-Instruct?

Accepted Answer

Kimi-K2-Instruct by Hugging Face has a knowledge cutoff date of 2024-10. This means the model was trained on data available up until that date.

Kimi-K2-Instruct API

Input Modalities

Output Modalities

Standard (per 1M tokens)