Question 1

What is the cost of Qwen/Qwen3.5-9B by SiliconFlow (China)?

Accepted Answer

Qwen/Qwen3.5-9B by SiliconFlow (China) costs $0.22 per 1M input tokens and $1.74 per 1M output tokens.

Question 2

What is the context window of Qwen/Qwen3.5-9B by SiliconFlow (China)?

Accepted Answer

Qwen/Qwen3.5-9B by SiliconFlow (China) has a context window of 262K tokens. It supports up to 262K input tokens and can generate up to 66K output tokens.

Question 3

What are the capabilities of Qwen/Qwen3.5-9B by SiliconFlow (China)?

Accepted Answer

Qwen/Qwen3.5-9B by SiliconFlow (China) supports advanced reasoning, tool calling/function calling, adjustable temperature. It has open weights.

Question 4

What input and output types does Qwen/Qwen3.5-9B support?

Accepted Answer

Qwen/Qwen3.5-9B by SiliconFlow (China) accepts text, image, video as input and can generate text as output.

Question 5

Does Qwen/Qwen3.5-9B by SiliconFlow (China) support reasoning?

Accepted Answer

Yes, Qwen/Qwen3.5-9B by SiliconFlow (China) supports advanced reasoning capabilities.

Question 6

Is Qwen/Qwen3.5-9B by SiliconFlow (China) open source?

Accepted Answer

Yes, Qwen/Qwen3.5-9B by SiliconFlow (China) has open weights, meaning the model weights are publicly available for download and self-hosting.

Question 7

Does Qwen/Qwen3.5-9B support function calling?

Accepted Answer

Yes, Qwen/Qwen3.5-9B by SiliconFlow (China) 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 Qwen/Qwen3.5-9B?

Accepted Answer

Qwen/Qwen3.5-9B by SiliconFlow (China) has a knowledge cutoff date of 2025-04. This means the model was trained on data available up until that date.

Qwen/Qwen3.5-9B API

Input Modalities

Output Modalities

Standard (per 1M tokens)