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Language modelActive

Qwen 3.5 27B

Alibaba

Released
February 24, 2026
Data date
September 8, 2026
Speed
77.9 tokens/s
Output throughput
Price
Input · Output / 1M tokens
Input
Text, Image, Video
Output
Text

Qwen 3.5 27B is the dense counterpart to the line's sparse MoE variants. All 27 billion parameters participate in each pass, and the model processes text, images, and video in one multimodal architecture.

Qwen lists 262,144 native context tokens for the weights, with extension to 1,010,000. Apache-2.0 permits self-hosting.

Specifications and access

SpecificationValue and source
Weights
Open weightsSource
Access
API, LocalSource
Parameters
Context window
262,144 tokensSource
Weights repository
Qwen/Qwen3.5-27BSource
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
27 BSource
Languages
201 languages and dialectsSource
Repository created
2026-02-24 (Repository creation date is a precise publication proxy, but may differ from the public announcement date or an individual checkpoint's first availability.)Source