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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Qwen3.5 represents a major advancement in open-weight multimodal AI models, engineered to function as a native vision-language agent system. Its flagship model, Qwen3.5-397B-A17B, leverages a hybrid architecture that fuses Gated DeltaNet linear attention with a high-sparsity mixture-of-experts framework, allowing only 17 billion parameters to activate during inference for improved speed and cost efficiency. Despite its sparse activation, the full 397-billion-parameter model achieves competitive performance across reasoning, coding, multilingual benchmarks, and complex agent evaluations. The hosted Qwen3.5-Plus version supports a one-million-token context window and includes built-in tool use for search, code interpretation, and adaptive reasoning. The model significantly expands multilingual coverage to 201 languages and dialects while improving encoding efficiency with a larger vocabulary. Native multimodal training enables strong performance in image understanding, video processing, document analysis, and spatial reasoning tasks. Its infrastructure includes FP8 precision pipelines and heterogeneous parallelism to boost throughput and reduce memory consumption. Reinforcement learning at scale enhances multi-step planning and general agent behavior across text and multimodal environments. Overall, Qwen3.5 positions itself as a high-efficiency foundation for autonomous digital agents capable of reasoning, searching, coding, and interacting with complex environments.

Description

Qwen3.5-Omni, an advanced multimodal AI model created by Alibaba, seamlessly integrates the understanding and generation of text, images, audio, and video within a cohesive framework, facilitating more intuitive and instantaneous interactions between humans and AI. In contrast to conventional models that analyze each modality in isolation, this innovative system is built from the ground up using vast audiovisual datasets, enabling it to effectively manage intricate inputs like lengthy audio recordings, videos, and spoken commands concurrently while excelling in all formats. It accommodates long-context inputs of up to 256K tokens and is capable of processing over ten hours of audio or extended video sequences, making it ideal for high-demand real-world scenarios. A standout characteristic of this model is its sophisticated voice interaction features, which encompass end-to-end speech dialogue, the ability to control emotional tone, and voice cloning, allowing for extraordinarily natural conversational exchanges that can vary in volume and adapt speaking styles in real-time. Furthermore, this versatility ensures that users can enjoy a truly personalized and engaging interaction experience.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

APIFree
Alibaba Cloud Model Studio
Claw Code
Ollama
OpenClaw
Qwen
Qwen3.5-Plus
Together AI
ZooClaw

Integrations

APIFree
Alibaba Cloud Model Studio
Claw Code
Ollama
OpenClaw
Qwen
Qwen3.5-Plus
Together AI
ZooClaw

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

qwen.ai

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

qwen.ai/blog

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