Supercharge your Z-Image-Turbo workflows with the new Z-Image-Engineer-V6!
Built specifically for Z-Image-Turbo, it turns simple prompts into cinematic descriptions and directly upgrades image depth, texture, and quality as a swappable text encoder.
Part 2 of our AI Buzzword series is officially LIVE! 🎬
This episode explains exactly how AI evolves from a "chatbot" into a "digital worker"
Hit that follow button to unlock more simple AI breakdowns and tech insights!
AI buzzwords are hitting us wave after wave... 🌊
LLM, Token, Prompt, RAG, Agent, Harness...
Where did they come from, and what real-world problems do they actually solve?
We are breaking them all down in a 2-part video series. Here is Part 1!
Excited to share our latest research introducing Qwen-VLA—a unified Vision-Language-Action model for general embodied intelligence 🤖
By combining Qwen3.5-4B with a 1.15B DiT decoder, it unifies manipulation, navigation, and trajectory prediction into a single framework.
With embodiment-aware prompts, the same Qwen-VLA model can operate across 11 robot embodiments under a unified architecture—covering single-arm, dual-arm, and humanoid platforms without task-specific policy heads—without task-specific architecture forks or separate policy heads.
Meet Qwen3.7-Max, our latest proprietary model built specifically for the agent era.
• Frontier Coding Agent: Excels from frontend prototyping to complex software engineering.
• Cowork Productivity Assistant: Reliable office assistant and workflow automation via MCP and multi-agent orchestration.
• Long-Horizon Autonomous Execution: Built for sustained, autonomous execution across long-horizon tasks.
• Cross-Harness Generalization: Consistent performance across diverse agent frameworks.
We designed it to be a versatile agent foundation—equally capable of writing/debugging code, automating office workflows, and sustaining autonomous execution across hundreds or thousands of steps. 👇