Qwen3.5-9B

Qwen3.5-9B

Qwen/Qwen3.5-9B

About Qwen3.5-9B

Qwen3.5-9B is a native multimodal large language model from the Qwen team with 9B parameters. As a lightweight dense model in the Qwen3.5 series, it features an efficient hybrid architecture combining Gated Delta Networks with Gated Attention, natively supporting a 262K context length extensible up to ~1M tokens. The model achieves unified vision-language capabilities through early fusion training, supporting text, image, and video understanding. It defaults to thinking mode, supports tool calling, and covers 201 languages and dialects

Available Serverless

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Input Price

$

0.1

/ M Tokens

Output Price

$

0.15

/ M Tokens

Metadata

Create on

License

APACHE-2.0

Provider

Qwen

HuggingFace

Specification

State

Available

Architecture

Hybrid Gated Architecture

Calibrated

No

Mixture of Experts

No

Total Parameters

9B

Activated Parameters

9B

Reasoning

No

Precision

FP8

Context length

262K

Max Tokens

262K

Supported Functionality

Serverless

Supported

Serverless LoRA

Not supported

Fine-tuning

Not supported

Embeddings

Not supported

Rerankers

Not supported

Support image input

Supported

JSON Mode

Supported

Structured Outputs

Not supported

Tools

Supported

Fim Completion

Not supported

Chat Prefix Completion

Not supported

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