Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Qwen3.8-Omni-Flash represents an innovative omnimodal model crafted to enhance the capabilities of agents in practical productivity environments, evolving from simple comprehension of multimodal materials to executing tasks, utilizing tools, and engaging in creative endeavors. This model is built on the advanced Qwen3.8-Flash-Next architecture and can process text, images, audio, and video inputs with an impressive context window of up to 1 million tokens while ensuring robust performance in text-based tasks. It goes beyond mere coding and knowledge work, also enriching workflows related to audio and video by facilitating activities such as video editing, the creation of music videos, film commentary, audiovisual summarization, and live conversations. Notably, the model enhances the understanding of long-form audio and video through structured descriptions, effective evidence collection by agents, comprehension of meetings, and in-depth research focused on video content. Users have the flexibility to define parameters such as subject, time frame, detail level, and desired output format for video evaluations, paving the way for detailed overviews and tailored analyses. This versatility makes it a powerful tool for both professionals and creatives looking to maximize their productivity across various multimedia platforms.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Alibaba Cloud Model Studio
Yes
Ollama
Yes
OpenClaw
Yes
Qwen
Yes
BaseRT
Yes
Cherry Studio
No
Claw Code
Yes
Cline
No
Happy Shrimp 1.0
No
Hugging Face
No
Integrations
Alibaba Cloud Model Studio
Yes
Ollama
Yes
OpenClaw
Yes
Qwen
Yes
BaseRT
No
Cherry Studio
Yes
Claw Code
No
Cline
Yes
Happy Shrimp 1.0
Yes
Hugging Face
Yes
Pricing Details
Free
Open source
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
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