Question 1

What is the cost of DeepSeek-R1 by GitHub Models?

Accepted Answer

DeepSeek-R1 by GitHub Models costs Free per 1M input tokens and Free per 1M output tokens.

Question 2

What is the context window of DeepSeek-R1 by GitHub Models?

Accepted Answer

DeepSeek-R1 by GitHub Models has a context window of 66K tokens. It supports up to 66K input tokens and can generate up to 8K output tokens.

Question 3

What are the capabilities of DeepSeek-R1 by GitHub Models?

Accepted Answer

DeepSeek-R1 by GitHub Models supports advanced reasoning, tool calling/function calling, adjustable temperature. It has open weights.

Question 4

What input and output types does DeepSeek-R1 support?

Accepted Answer

DeepSeek-R1 by GitHub Models accepts text as input and can generate text as output.

Question 5

Does DeepSeek-R1 by GitHub Models support reasoning?

Accepted Answer

Yes, DeepSeek-R1 by GitHub Models supports advanced reasoning capabilities.

Question 6

Is DeepSeek-R1 by GitHub Models open source?

Accepted Answer

Yes, DeepSeek-R1 by GitHub Models has open weights, meaning the model weights are publicly available for download and self-hosting.

Question 7

Does DeepSeek-R1 support function calling?

Accepted Answer

Yes, DeepSeek-R1 by GitHub Models supports tool calling (also known as function calling), allowing it to interact with external tools and APIs during conversations.

Question 8

What is the knowledge cutoff date for DeepSeek-R1?

Accepted Answer

DeepSeek-R1 by GitHub Models has a knowledge cutoff date of 2024-06. This means the model was trained on data available up until that date.

DeepSeek-R1 API

Input Modalities

Output Modalities

Standard (per 1M tokens)

DeepSeek-R1 API

Input Modalities

Output Modalities

Standard (per 1M tokens)