Question 1

What is the cost of Qwen3.6-35B-A3B by Wafer?

Accepted Answer

Qwen3.6-35B-A3B by Wafer costs $0.15 per 1M input tokens and $1.00 per 1M output tokens. Cached reads cost $0.02 per 1M tokens. Cache writes cost Free per 1M tokens.

Question 2

What is the context window of Qwen3.6-35B-A3B by Wafer?

Accepted Answer

Qwen3.6-35B-A3B by Wafer has a context window of 256K tokens. It supports up to 229K input tokens and can generate up to 66K output tokens.

Question 3

What are the capabilities of Qwen3.6-35B-A3B by Wafer?

Accepted Answer

Qwen3.6-35B-A3B by Wafer supports advanced reasoning, tool calling/function calling, structured output, adjustable temperature, file attachments. It has open weights.

Question 4

What input and output types does Qwen3.6-35B-A3B support?

Accepted Answer

Qwen3.6-35B-A3B by Wafer accepts text, image, video as input and can generate text as output.

Question 5

Does Qwen3.6-35B-A3B by Wafer support reasoning?

Accepted Answer

Yes, Qwen3.6-35B-A3B by Wafer supports advanced reasoning capabilities.

Question 6

Is Qwen3.6-35B-A3B by Wafer open source?

Accepted Answer

Yes, Qwen3.6-35B-A3B by Wafer has open weights, meaning the model weights are publicly available for download and self-hosting.

Question 7

Does Qwen3.6-35B-A3B support function calling?

Accepted Answer

Yes, Qwen3.6-35B-A3B by Wafer 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 Qwen3.6-35B-A3B?

Accepted Answer

Qwen3.6-35B-A3B by Wafer has a knowledge cutoff date of 2025-04. This means the model was trained on data available up until that date.

Qwen3.6-35B-A3B API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)