Question 1

What is the cost of DeepSeek-V3.2 by Friendli?

Accepted Answer

DeepSeek-V3.2 by Friendli costs $0.50 per 1M input tokens and $1.50 per 1M output tokens. Cached reads cost $0.25 per 1M tokens.

Question 2

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

Accepted Answer

DeepSeek-V3.2 by Friendli has a context window of 164K tokens. It supports up to 164K input tokens and can generate up to 164K output tokens.

Question 3

What are the capabilities of DeepSeek-V3.2 by Friendli?

Accepted Answer

DeepSeek-V3.2 by Friendli supports advanced reasoning, tool calling/function calling, structured output, adjustable temperature. It has open weights.

Question 4

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

Accepted Answer

DeepSeek-V3.2 by Friendli accepts text as input and can generate text as output.

Question 5

Does DeepSeek-V3.2 by Friendli support reasoning?

Accepted Answer

Yes, DeepSeek-V3.2 by Friendli supports advanced reasoning capabilities.

Question 6

Is DeepSeek-V3.2 by Friendli open source?

Accepted Answer

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

Question 7

Does DeepSeek-V3.2 support function calling?

Accepted Answer

Yes, DeepSeek-V3.2 by Friendli supports tool calling (also known as function calling), allowing it to interact with external tools and APIs during conversations.

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)