Qwen-VL - Tongyi Qianwen Vision

Open-source Multimodal Vision-Language Model Q Voice & Memory

Basic Information

  • Product ID: 706
  • Company/Brand: Alibaba (Tongyi Qianwen Team)
  • Country/Region: China
  • Official Website: https://github.com/QwenLM/Qwen3-VL
  • Type: Open-source Multimodal Vision-Language Model
  • License: Apache 2.0
  • Release Date: Qwen-VL August 2023

Product Description

Qwen-VL (Tongyi Qianwen Vision) is a series of multimodal vision-language models developed by Alibaba's Qwen team, and is one of the most powerful open-source VLMs in China. The latest Qwen3-VL (released in September 2025) flagship model boasts 235B parameters, matching or even surpassing Gemini 2.5 Pro on multiple visual perception benchmarks. Qwen3.5 further introduces early vision-language fusion training, achieving a generational leap in performance.

Core Features/Characteristics

  • Qwen3-VL Flagship 235B: Matches Gemini 2.5 Pro's visual perception capabilities
  • GUI Agent Capability: Operates computer and mobile GUIs, recognizes screen elements, and autonomously executes tasks
  • Visual Programming: Generates Draw.io/HTML/CSS/JS code from images/videos
  • 256K Native Context: Extendable to 1 million tokens
  • Video Understanding: Long-term video reasoning and dynamic understanding
  • Interleaved-MRoPE: Full-frequency position encoding enhances long video reasoning
  • DeepStack: Multi-layer ViT feature fusion for fine-grained image-text alignment
  • Thinking Mode: Reasoning version achieves SOTA on multimodal reasoning benchmarks
  • Multiple Size Options: 3B, 7B, 32B, 72B, 235B parameter versions

Business Model

  • Open Source and Free: Apache 2.0 license, fully open-source 235B flagship
  • Alibaba Cloud API: Provides commercial APIs through Alibaba Cloud's Bailian platform
  • vLLM Compatibility: Supports deployment with mainstream inference frameworks
  • Ollama Support: Small models can be run locally via Ollama

Target Users

  • Developers of Chinese multimodal AI applications
  • Enterprises requiring open-source large-scale VLMs
  • GUI automation and RPA developers
  • Video analysis and understanding applications
  • Multimodal AI researchers

Competitive Advantages

  • Largest open-source VLM with 235B parameters
  • Matches Gemini 2.5 Pro on visual perception benchmarks
  • Outstanding GUI agent capabilities, supports real user interface operations
  • Excellent Chinese language understanding
  • Apache 2.0 license allows full commercial freedom
  • Multiple size versions cater to different deployment needs

Relationship with OpenClaw Ecosystem

Qwen-VL is the core visual understanding model for OpenClaw in the Chinese market. Its GUI agent capabilities align deeply with OpenClaw's automation operations—AI agents can understand screen content and autonomously operate applications through Qwen-VL. The open-source 235B flagship provides OpenClaw with top-tier visual understanding capabilities without relying on closed-source APIs. Smaller model versions (3B/7B) can run locally on user devices, enabling privacy-preserving offline visual understanding.

External References

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