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The HappyHorse Text-to-Video model features highly realistic dynamic generation capabilities. It accurately comprehends text semantics to output high-quality videos that are fluid, natural, and rich in detail.
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.
Revenue grew 18% year-over-year, led by cloud infrastructure and AI services.
Customer retention remained above 93%, with enterprise expansion as the largest contributor.
Key risks include supply-chain volatility and slower recovery in overseas channels.
The Qwen3.5 series of open-source models is a native vision-language model designed with a hybrid architecture, integrating a linear attention mechanism and a sparse mixture-of-experts model to achieve higher inference efficiency.
Based on a new generation of generative speech models, CosyVoice deeply integrates text understanding and speech generation technologies. It can accurately parse and interpret various text contents, converting them into natural speech like real people, bringing a highly humanized natural speech synthesis experience.
Qwen3-Omni-Flash multimodal large-scale model, based on the Thinker–Talker Mixed Expert (MoE) architecture, supports efficient understanding and speech generation of text, images, audio, and video. It can interact with text in 119 languages and speech in 20 languages, generating human-like speech for precise cross-lingual communication. The model boasts powerful command-following and system prompt customization capabilities, flexibly adapting to conversational styles and character settings. It is widely used in scenarios such as text creation, voice assistants, and multimedia analysis, providing a natural and smooth multimodal interaction experience.
Craft, validate, and ship with confidence using Try AI, guided by production-ready docs.
Craft, validate, and ship with confidence using Try AI, guided by production-ready docs.
JoyPix, an AI video startup, adopted Wan API to deliver high-quality video generation. By integrating Wan, it improved generation stability, supported Japanese prompt understanding, and reduced infrastructure overhead—empowering creators with studio-grade video production and driving platform growth.
Akool, an AI-native video generation company focused on B2B market, integrated Wan model for multi-scene video generation, Qwen-VL for multimodal understanding, and Qwen-Image for high-resolution output—achieving 60% less character flickering, 40% better stability, and 40–60% lower infrastructure costs.
A2E.AI, an all-in-one video platform serving global creators, integrated Alibaba's Wan model for state-of-the-art video generation and Qwen-Image for advanced image tasks, achieving 40% faster response times and 25% lower infrastructure costs while maintaining strict data compliance across regions.
Global Leader
Global Leader
Global Leader
Run in isolation
Isolated VPCs for every deployment with dedicated infrastructure.
Compliance
150+ compliance certifications across the Asia-Pacific region
Guaranteed
Guaranteed P95 first-packet latency for predictable, consistent inference.
Integrated
Model evaluation, rapid experimentation, and deployment monitoring in one suite.
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