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What is Qwen3-VL?

Qwen3-VL is the newest member of Alibaba Cloud's Qwen family, merging advanced text processing alongside remarkable visual and video analysis functionalities within a unified multimodal system. This model is designed to handle various input formats, such as text, images, and videos, and it excels in navigating complex and lengthy contexts, accommodating up to 256 K tokens with the possibility for future enhancements. With notable improvements in spatial reasoning, visual comprehension, and multimodal reasoning, the architecture of Qwen3-VL introduces several innovative features, including Interleaved-MRoPE for consistent spatio-temporal positional encoding and DeepStack to leverage multi-level characteristics from its Vision Transformer foundation for enhanced image-text correlation. Additionally, the model incorporates text–timestamp alignment to ensure precise reasoning regarding video content and time-related occurrences. These innovations allow Qwen3-VL to effectively analyze complex scenes, monitor dynamic video narratives, and decode visual arrangements with exceptional detail. The capabilities of this model signify a substantial advancement in multimodal AI applications, underscoring its versatility and promise for a broad spectrum of real-world applications. As such, Qwen3-VL stands at the forefront of technological progress in the realm of artificial intelligence.

What is Qwen Code?

Qwen3-Coder is a sophisticated coding model available in multiple sizes, with its standout 480B-parameter Mixture-of-Experts variant (featuring 35B active parameters) capable of handling 256K-token contexts that can be expanded to 1M, showcasing superior performance in Agentic Coding, Browser-Use, and Tool-Use tasks, effectively competing with Claude Sonnet 4. The model undergoes a pre-training phase that utilizes a staggering 7.5 trillion tokens, of which 70% consist of code, alongside synthetic data improved from Qwen2.5-Coder, thereby boosting its coding proficiency and overall functionality. Its post-training phase benefits from extensive execution-driven reinforcement learning across 20,000 parallel environments, allowing it to tackle complex multi-turn software engineering tasks like SWE-Bench Verified without requiring test-time scaling. Furthermore, the open-source Qwen Code CLI, adapted from Gemini Code, enables the implementation of Qwen3-Coder in agentic workflows through customized prompts and function calling protocols, ensuring seamless integration with platforms like Node.js and OpenAI SDKs. This blend of powerful features and versatile accessibility makes Qwen3-Coder an invaluable asset for developers aiming to elevate their coding endeavors and streamline their workflows effectively. As a result, it serves as a pivotal resource in the rapidly evolving landscape of programming tools.

Media

Media

Integrations Supported

Alibaba AI Coding Plan
Claude Opus 4.1
Claude Opus 4.5
Claude Opus 4.6
Claude Sonnet 4
Claude Sonnet 4.5
Claude Sonnet 4.6
HTML
Node.js
OpenAI
OpenClaw
Oxen.ai
Qwen2.5

Integrations Supported

Alibaba AI Coding Plan
Claude Opus 4.1
Claude Opus 4.5
Claude Opus 4.6
Claude Sonnet 4
Claude Sonnet 4.5
Claude Sonnet 4.6
HTML
Node.js
OpenAI
OpenClaw
Oxen.ai
Qwen2.5

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwen.ai/blog

Company Facts

Organization Name

Qwen

Date Founded

2023

Company Location

China

Company Website

github.com/QwenLM/qwen-code

Categories and Features

Categories and Features

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