Question 1

What is the cost of DeepSeek-V3.2 (Thinking Mode) by ZenMux?

Accepted Answer

DeepSeek-V3.2 (Thinking Mode) by ZenMux costs $0.28 per 1M input tokens and $0.42 per 1M output tokens. Cached reads cost $0.03 per 1M tokens.

Question 2

What is the context window of DeepSeek-V3.2 (Thinking Mode) by ZenMux?

Accepted Answer

DeepSeek-V3.2 (Thinking Mode) by ZenMux has a context window of 128K tokens. It supports up to 128K input tokens and can generate up to 64K output tokens.

Question 3

What are the capabilities of DeepSeek-V3.2 (Thinking Mode) by ZenMux?

Accepted Answer

DeepSeek-V3.2 (Thinking Mode) by ZenMux supports advanced reasoning, tool calling/function calling, adjustable temperature. It has closed weights.

Question 4

What input and output types does DeepSeek-V3.2 (Thinking Mode) support?

Accepted Answer

DeepSeek-V3.2 (Thinking Mode) by ZenMux accepts text as input and can generate text as output.

Question 5

Does DeepSeek-V3.2 (Thinking Mode) by ZenMux support reasoning?

Accepted Answer

Yes, DeepSeek-V3.2 (Thinking Mode) by ZenMux supports advanced reasoning capabilities.

Question 6

Is DeepSeek-V3.2 (Thinking Mode) by ZenMux open source?

Accepted Answer

No, DeepSeek-V3.2 (Thinking Mode) by ZenMux has closed weights. The model is only available through the ZenMux API.

Question 7

Does DeepSeek-V3.2 (Thinking Mode) support function calling?

Accepted Answer

Yes, DeepSeek-V3.2 (Thinking Mode) by ZenMux 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-V3.2 (Thinking Mode)?

Accepted Answer

DeepSeek-V3.2 (Thinking Mode) by ZenMux has a knowledge cutoff date of 2025-01-01. This means the model was trained on data available up until that date.

DeepSeek-V3.2 (Thinking Mode) API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)

DeepSeek-V3.2 (Thinking Mode) API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)