Alibaba DAMO Academy unveiled RynnBrain, an open-sourced embodied foundation model based on Qwen3-VL.
The article explains how to build RAG-based application with security gateway for better yet secure retrieval and generation.
In an era where both personal health and environmental sustainability are critical concerns, tracking the nutritional and ecological impact of daily meals remains a challenge.
This article introduces Qwen3-Coder-Next, an open-weight coding agent model built on hybrid attention-MoE architecture with strong agentic capabilities and lower inference costs.
Suitable for users who want to configure Model Studio API for Moltbot/Clawdbot
This article introduces Qwen3-Max-Thinking, a top-tier reasoning model that rivals leading AI systems and features adaptive tool use and advanced test...
This article introduces Qwen3-Max-Thinking, Alibaba’s latest reasoning model that excels in adaptive tool use and advanced test-time scaling to outperform leading AI systems.
The article introduces Qwen3-VL-Embedding and Qwen3-VL-Reranker—open-source, multimodal models for next-generation cross-modal retrieval.
What are developers actually building in 2025? In this article, we summarized ten key insights derived from the top search queries on the Alibaba Cloud Community Blog in 2025.
This article introduces the upgraded Qwen3-Omni-Flash-2025-12-01 model, which delivers smarter, more natural multimodal interaction across text, audio, images, and video.
This article introduces Qwen DeepResearch, a tool designed to make deep research more accessible and efficient by reducing the friction between thinking and validation.
Qwen3-powered personal assistant not only chats but gets things done
This article introduces Qwen3-Max, a state-of-the-art generative AI model with over 1 trillion parameters and advanced capabilities in coding, reasoning, and agent tasks.
Quark AI Glasses joins 11.11 shopping festival to kick off online pre-sale in China starting October 24
This article introduces Qwen3‑LiveTranslate, a real‑time multimodal AI for fast, vision‑enhanced, high‑quality multilingual audio and video interpretation.
This article introduces Qwen3‑VL, a next‑gen open‑source multimodal model with sharper vision, stronger reasoning, long context, and agentic tool use.
This article introduces Qwen3Guard, a multilingual safety guardrail for LLMs that provides real-time, token-level moderation of prompts and responses.
This article introduces Qwen3‑Omni—an end‑to‑end multilingual, omni‑modal foundation model with real‑time text and speech across text, image, audio, and video.
This article introduces Qwen3‑Next—an ultra‑efficient LLM architecture—along with its 80B models, benchmarks, and deployment guidance.
Full-stack offerings introduced from AI models to agent development and application platforms and upgraded infrastructure during Apsara Conference 202...
