Question 1

What is the cost of Kimi K2 Instruct by NanoGPT?

Accepted Answer

Kimi K2 Instruct by NanoGPT costs $0.40 per 1M input tokens and $1.80 per 1M output tokens. Cached reads cost $0.20 per 1M tokens.

Question 2

What is the context window of Kimi K2 Instruct by NanoGPT?

Accepted Answer

Kimi K2 Instruct by NanoGPT has a context window of 256K tokens. It supports up to 256K input tokens and can generate up to 8K output tokens.

Question 3

What are the capabilities of Kimi K2 Instruct by NanoGPT?

Accepted Answer

Kimi K2 Instruct by NanoGPT supports tool calling/function calling, structured output, adjustable temperature. It has open weights.

Question 4

What input and output types does Kimi K2 Instruct support?

Accepted Answer

Kimi K2 Instruct by NanoGPT accepts text as input and can generate text as output.

Question 5

Is Kimi K2 Instruct by NanoGPT open source?

Accepted Answer

Yes, Kimi K2 Instruct by NanoGPT 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 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 Kimi K2 Instruct?

Accepted Answer

Kimi K2 Instruct by NanoGPT 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)

Caching (per 1M tokens)