Model Marketplace

2.4-trillion-parameter MoE flagship delivering a comprehensive leap in coding and professional work. Autonomously codes and delivers complete projects spanning 10+ days. Handles hundreds of specialized tasks across legal, financial, design, and other professional domains, producing production-grade results end-to-end in a single conversation. Native visual understanding runs through the full cycle of planning, execution, and verification, enabling deep semantic analysis of ultra-long documents and extended video content. In long-horizon tasks, plans autonomously, iterates through closed feedback loops, and continuously evolves.

Rich content: Supports input of up to 4.5k tokens and dense information layout with images-within-images, enabling complex layouts like newspapers, storyboards, menus, and exam papers to be generated in a single pass. Authentic detail: Supports precise rendering of text as small as 10px, and vividly reproduces fine details such as micro-expressions, pores, and individual strands of hair—approaching the quality of real photography. Deep knowledge: Supports native rendering of 12 languages and 20+ fonts, realistic simulation of mainstream interfaces such as web pages, games, and live streams, fully incorporating external knowledge. Qwen-Image-3.0-Pro isn't just pursuing "good looks"—it's pursuing "usefulness", making image generation a truly deployable productivity tool.

The Max model, the largest and most capable variant in the Qwen3.7 series, is now available with plain-text capabilities open for experimentation. Qwen3.7 is the next-generation flagship model built for the agentic era. Its core strengths lie in the breadth and depth of agentic capabilities: excelling across coding, office & productivity, and long-horizon autonomous execution tasks.

HappyHorse-1.1-T2V supports Text-to-Video generation with improved semantic understanding, cinematic shot control, and dynamic motion rendering. It more accurately captures creative intent, producing high-quality videos with smoother motion, richer details, stronger visual consistency, and more natural character actions, scene atmosphere, and physical dynamics.

HappyHorse-1.1-I2V supports Image-to-Video generation with improved visual quality, dynamic performance, and cross-clip consistency. It more accurately understands the input image and preserves creative intent, delivering significant improvements in skin texture realism, character ID consistency across clips, motion smoothness, text rendering stability, and audio-visual synchronization, producing high-quality videos with greater realism, richer details, and stronger overall consistency.

The cost-effective Plus model builds on its robust text capabilities while delivering a comprehensive upgrade to its vision‑language abilities, all while preserving its full‑stack agent‑level intelligence for coding, tool use, and productivity workflows.

Wan2.6 text to image, Upgraded visual quality, aesthetics, and instruction-following deliver precise style control, realistic portraits, long-text understanding, and broad historical/cultural IP coverage, enabling high-quality, highly expressive visual generation.