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Language modelActive

Qwen 3.5 397B A17B

Alibaba

Released
February 15, 2026
Data date
September 8, 2026
Speed
86.9 tokens/s
Output throughput
Price
Input · Output / 1M tokens
Input
Text, Image, Video
Output
Text

Qwen 3.5 397B A17B is the largest open Qwen3.5 checkpoint, combining early image-text fusion with a sparse Mixture of Experts. Seventeen billion of its 397 billion parameters are active. The model card presents it as a multimodal foundation for coding, agents, and visual understanding, rather than simply a larger text generator.

The repository supports 262,144 native context tokens and extension to 1,010,000. Qwen names Qwen 3.8 2.4T A95B as a later open-weight expansion built on this foundation. For managed inference, Qwen3.5-Plus is a separate configuration with 1M context by default and built-in tools. Keep the weights and hosted API distinct.

Profile

Specifications and access

Published information about this model. Existing estimates are explicitly labeled.

Dated documentation and model-card observations. Provider limits, native context and extended context can differ. Configuration notes retain the source wording.

SpecificationValue and source
Weights
Open weightsSource
Access
API, LocalSource
Parameters
397BSource
Active parameters
Context window
262,144 tokensSource
Weights repository
Qwen/Qwen3.5-397B-A17BSource
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
397 BSource
Active parameters
17 BSource
Languages
201 languages and dialectsSource
Repository created
2026-02-16 (Repository creation date is a precise publication proxy, but may differ from the public announcement date or an individual checkpoint's first availability.)Source