Question 1

What is the cost of DeepSeek V3.2 by NanoGPT?

Accepted Answer

DeepSeek V3.2 by NanoGPT costs $0.28 per 1M input tokens and $0.42 per 1M output tokens. Cached reads cost $0.14 per 1M tokens.

Question 2

What is the context window of DeepSeek V3.2 by NanoGPT?

Accepted Answer

DeepSeek V3.2 by NanoGPT has a context window of 163K tokens. It supports up to 163K input tokens and can generate up to 66K output tokens.

Question 3

What are the capabilities of DeepSeek V3.2 by NanoGPT?

Accepted Answer

DeepSeek V3.2 by NanoGPT supports tool calling/function calling, structured output, adjustable temperature, file attachments. It has open weights.

Question 4

What input and output types does DeepSeek V3.2 support?

Accepted Answer

DeepSeek V3.2 by NanoGPT accepts text, pdf as input and can generate text as output.

Question 5

Is DeepSeek V3.2 by NanoGPT open source?

Accepted Answer

Yes, DeepSeek V3.2 by NanoGPT has open weights, meaning the model weights are publicly available for download and self-hosting.

Question 6

Does DeepSeek V3.2 support function calling?

Accepted Answer

Yes, DeepSeek V3.2 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 DeepSeek V3.2?

Accepted Answer

DeepSeek V3.2 by NanoGPT has a knowledge cutoff date of 2024-07. This means the model was trained on data available up until that date.

DeepSeek V3.2 API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)

DeepSeek V3.2 API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)