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Language modelActive

Qwen 3.5 9B

Alibaba

Released
February 27, 2026
Data date
September 8, 2026
Speed
82.4 tokens/s
Output throughput
Price
Input · Output / 1M tokens
Input
Text, Image, Video
Output
Text

Qwen 3.5 9B brings the open Qwen3.5 line’s vision encoder into a compact model with 9 billion parameters. It handles images and video alongside text. Unlike the family’s larger MoE variants, it uses a dense architecture.

The weights use Apache-2.0. Qwen lists 262,144 native context tokens with extension to 1,010,000.

Specifications and access

SpecificationValue and source
Weights
Open weightsSource
Access
API, LocalSource
Parameters
Context window
262,144 tokensSource
Weights repository
Qwen/Qwen3.5-9BSource
License
Apache-2.0Source
Architecture
hybrid Gated DeltaNet + Gated Attention; dense or sparse MoE with vision encoderSource
Input
Text, Image, VideoSource
Output
TextSource
Reasoning mode
thinking by default; switchable non-thinking/instruct modeSource
Tool calling
Structured output
Native context window
262,144 tokensSource
Maximum context window
1,010,000 tokensSource
Parameters
Languages
201 languages and dialectsSource
Repository created
2026-02-27 (Repository creation date is a precise publication proxy, but may differ from the public announcement date or an individual checkpoint's first availability.)Source