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Description
Qwen3-VL represents the latest addition to Alibaba Cloud's Qwen model lineup, integrating sophisticated text processing with exceptional visual and video analysis capabilities into a cohesive multimodal framework. This model accommodates diverse input types, including text, images, and videos, and it is adept at managing lengthy and intertwined contexts, supporting up to 256 K tokens with potential for further expansion. With significant enhancements in spatial reasoning, visual understanding, and multimodal reasoning, Qwen3-VL's architecture features several groundbreaking innovations like Interleaved-MRoPE for reliable spatio-temporal positional encoding, DeepStack to utilize multi-level features from its Vision Transformer backbone for improved image-text correlation, and text–timestamp alignment for accurate reasoning of video content and time-related events. These advancements empower Qwen3-VL to analyze intricate scenes, track fluid video narratives, and interpret visual compositions with a high degree of sophistication. The model's capabilities mark a notable leap forward in the field of multimodal AI applications, showcasing its potential for a wide array of practical uses.
Description
Qwen 4 is the upcoming fourth-generation foundation model in Alibaba’s Qwen AI family. Alibaba publicly confirmed at its 2026 Apsara Conference that the model is currently being trained. The company has not yet released technical specifications, model weights, API access, pricing, benchmark results, or a launch date for Qwen 4. Its development forms part of Alibaba’s broader effort to advance foundation models capable of increasingly complex and long-horizon work. The Qwen team is also researching recursive self-improvement, in which models use empirical feedback to identify weaknesses, design experiments, evaluate results, and iteratively improve training processes. Alibaba demonstrated this approach with Qwen3.8-Max, which completed 33 automated optimization cycles during a month-long experiment and improved its Artificial Analysis score from 40 to 45. These experiments provide context for Alibaba’s model-development direction but do not establish specific Qwen 4 capabilities. Alibaba has additionally outlined Qwen 4.5 and Qwen 5 models that could eventually scale to between 5 trillion and 10 trillion parameters. Until Qwen 4 is released, its exact architecture, modalities, performance, deployment options, and licensing remain to be announced.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Hermes Agent
OpenClaw
Alibaba Cloud
Alibaba Cloud Model Studio
Cherry Studio
ClinePass
HTML
Happy Shrimp 1.0
Hugging Face
Model Context Protocol (MCP)
Integrations
Hermes Agent
OpenClaw
Alibaba Cloud
Alibaba Cloud Model Studio
Cherry Studio
ClinePass
HTML
Happy Shrimp 1.0
Hugging Face
Model Context Protocol (MCP)
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/blog
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
qwen.ai