Tongyi Wanphase Wan 2.2 - Open source AI video generation model launched by Ali
Tongyi Wanphase Wan2.2 is an advanced AI video generation model open-sourced by Alibaba, with 27 billion total references. The model contains three modes of text-generated video, graph-generated video, and unified video generation, which can generate high-quality videos based on text descriptions, images, or a combination of both.
GLM-4.5 - Smart Spectrum Open Source SOTA Model for Reasoning, Code and Intelligentsia
GLM-4.5 is an open source SOTA model from Smart Spectrum, designed for intelligent body applications, incorporating reasoning, code generation and intelligent body capabilities. The model is based on the Mixed Expert (MoE) architecture and contains two versions, GLM-4.5 with 355 billion parameters and 106 billion...
Coze Studio - Open Source AI Agent Development Platform from ByteDance
Coze Studio is ByteDance's open source AI Intelligent Body development platform designed for developers to simplify the building, deployment and management of AI applications.Coze Studio provides a one-stop development environment that supports Prompt, RAG, Plugin...
Coze Loop - Byte Coze Open Source AI Agent Development and Debugging Platform
Coze Loop is the open source AI intelligence development and operation and maintenance management platform of Coze Platform under ByteDance. The platform provides developers with full lifecycle management from development, debugging to evaluation and monitoring, covering cue word engineering, Agent effect evaluation, performance monitoring and tuning...
Wuneng - the latest Body Intelligence Platform from Shangtang Technology
Wuneng is an embodied intelligence platform designed for robots and smart devices. Based on the "Enlightened" world model and multimodal big model technology, Wuneng integrates multi-sensor inputs such as vision, voice, touch, etc., and possesses powerful perception, decision-making and action capabilities.
Intern-S1 - Shanghai AI Lab's open source scientific multimodal macromodels
Intern-S1 is a scientific multimodal grand model launched by Shanghai Artificial Intelligence Laboratory. The model deeply integrates linguistic and multimodal capabilities, with powerful functions such as cross-modal scientific parsing, linguistic and visual fusion, scientific data processing, scientific question answering, experiment design and optimization.
Mixed 3D World Model 1.0 - Tencent's open source 3D world generation model
Hunyuan 3D world model 1.0 (Hunyuan World 1.0) is Tencent's open source industry's first immersive roaming, interactive, simulation world generation model. The model integrates panoramic visual generation and hierarchical 3D reconstruction technology , support for text or image input to quickly generate 36...
Day by Day V6.5 - The latest multimodal inference macromodel from ShangTech
Day by Day V6.5 is an advanced multimodal inference macromodel from ShangTech, designed to handle mixed image and text inputs, supporting accurate understanding of image content and generating descriptions or answering questions in combination with text.
Opal - AI workflow creation platform from Google
Opal is an innovative AI applet generation platform from Google Labs that helps users quickly create and share AI apps without having to write code.Opal makes it easy for users to string together prompts, model calls, and tools into a multi-step process through natural language interactions and visual editing interface...
Qwen-MT - A machine translation model introduced by Ali Tongyi
Qwen-MT is a state-of-the-art Qwen-MT - a machine translation model launched by Ali Tongyi Thousand Questions team, based on the powerful Qwen3 architecture, which supports inter-translation of 92 languages and covers a global population of more than 95%. The model is based on lightweight MoE ...









