Model Marketplace

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.

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 Max model, the largest and most capable variant in the Qwen3.6 series, is now available in a preview version. At present, only its plain-text capabilities are open for experimentation. Compared with the previously released Qwen3-Max and Qwen3.6-Plus, this model features enhanced vibe coding abilities, more efficient coding agent execution, and significantly improved front-end development skills. Additionally, its long-tail knowledge retention has been further upgraded.

The Qwen3.6 native vision-language Plus series models demonstrate exceptional performance on par with the current state-of-the-art models, with a significant improvement in overall results compared to the 3.5 series. The models have been markedly enhanced in code-related capabilities such as agentic coding, front-end programming, and Vibe coding, as well as in multi-modal general object recognition, OCR, and object localization.

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.

The full-featured Qwen-Image-2.0 series models integrate image generation and image editing, offering enhanced text rendering with support for 1,000-token prompts, more refined realistic textures, detailed depiction of photorealistic scenes, and stronger semantic adherence. The full-featured version delivers the strongest text rendering and most lifelike textures in the 2.0 series.

CosyVoice-v3-plus is the latest large voice cloning model in the CosyVoice series from Tongyi Lab. It offers superior sound quality and cloning fidelity, ideal for professional scenarios. With just 5-20 seconds of reference audio, it can rapidly generate a highly similar and natural-sounding custom voice. Synthesis capability: CosyVoice-v3-plus is the latest large speech synthesis model in the CosyVoice series from Tongyi Lab. It features enhanced sound quality and expressiveness, ideal for professional scenarios. The model supports real-time, streaming text-to-speech synthesis.