30 verified stories covering Alibaba, product updates and industry developments.
A Czech arbitration panel ordered alibaba.ai and tmall.ai transferred to Alibaba, ruling that the seller's jump from a $3,333 purchase to a $33,333 asking price itself showed bad-faith registration.
Alibaba's Qwen3.8-Flash-Next launches tonight on the unreleased Qwen4 architecture, a multimodal MoE with under 5% parameter activation aimed at cutting inference cost.
Alibaba raised HK$80 billion in an hour-long share placement earmarked for AI infrastructure, but shares fell 9% and closed below the offer price.
Alibaba's Q1 FY2027 net profit fell 76% even as AI cloud revenue rose 45%, the fastest pace in 22 quarters, with data-center delivery time cut to 100 days.
Alibaba's Qwen-UI-Agent is a real-device GUI agent trained on 100+ phones and 150+ apps, rivaling GPT-5.6 Sol and Claude Opus 4.8 on key benchmarks.
Qwen3.8-2.4T-A95B has moved from a promise to an open-weight ModelScope repository, giving developers a 4.89TB Max-class model card to test.
Qwen3.8-Max-Preview arrives with 2.4T parameters, Qoder access and steep credit discounts before a full model card or independent benchmarks.
Qwen-Audio-3.0-Realtime adds tool calling to real-time voice interaction. The piece reviews the verified facts and why the signal matters beyond one announcement.
Alibaba tests agents with HS code classification is reframed for global technology readers, with the key numbers, product claims and open questions kept intact.
Doubao and Qwen shut user AI agents on July 15 is reframed for global technology readers, preserving the key numbers, claims and open questions.
Alibaba’s Qwen team introduced Qwen-AgentWorld, a language world model that predicts how environments respond to agent actions.
Qwen-Robot Suite is software rather than hardware: three models for navigation, manipulation and world prediction, designed to run on robots from AgileX, Franka, Universal Robots and Unitree.
The former Alibaba Qwen lead is building a new lab around world models and embodied AI instead of another chatbot.
Alibaba's Qwen team released three embodied AI models, with RobotManip lifting cross-robot transfer success from 7.5% to 23.9% while RobotNav and RobotWorld cover movement and prediction.
The multimodal version of Qwen3.7-Max can read images and video, but Alibaba is emphasizing autonomous iteration, tool use and self-testing.
Alibaba released Qwen3.7-Plus on June 2, highlighting multimodal input, tool use, code generation and autonomous testing as its next agent bet.
China is tightening controls on overseas travel for key AI personnel at private firms like Alibaba and DeepSeek, requiring government approval before leaving the country.
Alibaba demonstrated its Qwen3.7-Max model autonomously writing kernel drivers for its new Zhenwu M890 chip, achieving a 10x performance boost in 35 hours.
Alibaba is wiring Qwen into Taobao and Tmall so the AI agent can search, compare, try on, pay and handle after-sales inside one shopping loop.
Alibaba's Qwen3.6-27B, a 27-billion-parameter open-source model, outperforms its 397-billion-parameter predecessor on agentic coding benchmarks, driven by a new Thinking Preservation feature.
Qwen3.6-27B, a dense 27B-parameter model, outperforms the 397B MoE Qwen3.5 on coding benchmarks, thanks to architectural stability and a new Thinking Preservation mechanism. It runs on consumer hardware like a single RTX 4090.
Alibaba released Qwen3.6-Max-Preview, its most powerful model yet, but kept the weights closed. It scored first in six benchmarks and second overall, signaling a strategic shift from open-source flagship to proprietary monetization.
Alibaba's Qwen team has released Qwen3.6-35B-A3B under Apache 2.0, a 35B-parameter MoE model that activates only 3B per token, scoring 73.4% on SWE-bench Verified and outperforming Google's Gemma 4-31B by 21 points.
Hours after releasing the Qwen3.5 small model series, Alibaba's AI lab lost its chief AI researcher and several key team leads. The departures follow an internal restructuring that reportedly placed a Google Gemini recruit in charge of Qwen's technical direction.
Alibaba's Qwen team has released Qwen3.5-Omni, its first true all-modal model that processes text, images, audio, and video within a single architecture, featuring real-time voice cloning and audio-video vibe coding.
Alibaba releases Qwen3.6-Plus, a model optimized for enterprise AI agent scenarios with code-level engineering, visual-to-code capabilities, and long-horizon planning, prioritizing production-ready execution over general-purpose competition.
Alibaba Cloud's Qwen 3.6 Plus offers a 1M-token context window for repository-level code analysis, matches Claude Opus 4.5 on SWE-bench, and generates front-end code from UI screenshots.
Alibaba's Qwen3.5 open-weight model now covers 201 languages and dialects, introduces native multimodal processing, and signals a broader industry shift from chatbots to AI agents.
Alibaba's Qwen3-Max flagship model now supports both thinking and non-thinking modes within a single deployment, reducing costs for smaller teams while competing with DeepSeek R1 on math and code tasks.
Alibaba has released the full Qwen3 model series under the Apache 2.0 license, covering eight sizes from 0.6B to 235B parameters, all free for commercial use.