Alibaba Cloud released Qwen3.8-Max through QwenCloud and documented completed multi-day autonomous coding, research, professional-work, and subagent-orchestration runs. A public GitHub repository independently exposes the continuing coding-harness activity. The promised open weights were not yet verifiable and are excluded from this assessment.
Alibaba Cloud released Qwen3-Max-Thinking in Qwen Chat and its API with adaptive search and code-interpreter use.
Qwen released the 20-billion-parameter Qwen-Image model with open weights for text rendering, image generation and image editing.
Qwen published Qwen3-Coder-480B-A35B-Instruct with open weights, 35 billion active parameters, a 256,000-token native context and training for tool use and long-horizon software tasks.
China's internet regulator reported removing more than 3,500 noncompliant AI products, 960,000 illegal items and 3,700 accounts in the first phase of an AI misuse campaign.
Alibaba Cloud released Qwen3 hybrid-reasoning weights under Apache 2.0 across dense and mixture-of-experts tiers, with tool-use support and deployment through major open model ecosystems.
Alibaba's Qwen team released Qwen2.5-Omni-7B, an open end-to-end model that consumes text, images, audio and video while streaming both text and natural speech.
Alibaba released Qwen2.5-Max, a large mixture-of-experts model pretrained on more than 20 trillion tokens, through Qwen Chat and the Alibaba Cloud API.
Alibaba's Qwen team released Qwen2.5-VL models at 3B, 7B and 72B scales, with open base and instruction weights and direct visual-agent support for computer and phone use.
Qwen released the open-weight QVQ-72B-Preview, built on Qwen2-VL-72B for step-by-step multimodal reasoning across mathematical, scientific and visual problems.
Alibaba released Qwen2.5 language, coding, and mathematics models across sizes from 0.5 billion to 72 billion parameters, with long context, structured outputs, tool calling, and mostly Apache-2.0 weights.
Alibaba released open 2B and 7B Qwen2-VL models and a 72B API model with image, long-video, multilingual text, and visual-agent capabilities for operating mobile devices and robots from visual inputs.
Alibaba released Qwen2-Audio-7B and its instruction-tuned variant with open weights, supporting direct voice chat and analysis across speech, sound, music, and mixed audio inputs without manual mode selection.
Alibaba Cloud released Qwen2 weights spanning 0.5B to 72B parameters, including a 57B mixture-of-experts tier, with base and instruction variants and permissive commercial access for most sizes.
Alibaba Cloud released 72-billion-parameter Qwen base and chat checkpoints with 32K context for download and commercial use under its model license.
Alibaba Cloud released the 7-billion-parameter Qwen base and chat models for download, research and commercial licensing, with code and model weights available publicly.
About 350 Alibaba Xiaomanlv driverless vehicles delivered more than one million packages during the first ten days of the 11.11 shopping campaign, exceeding their prior year of cumulative deliveries.
AutoX opened its Shenzhen robotaxi pilot to members of the public with no onboard safety driver or remote operator, moving its December driverless fleet test into public passenger service.
AutoX began testing 25 robotaxis on public roads in Shenzhen without onboard safety drivers or remote operators, the first such fully driverless fleet test reported in China.