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The Qwen3-30B-A3B model has undergone a major update, launching the new version Qwen3-30B-A3B-Thinking-2507. This new version has achieved significant improvements in reasoning capabilities, general abilities, and context length, marking that the model is not only lighter but also has stronger thinking capabilities. Compared to the Qwen3-30-A3B model open-sourced on April 29, the new model has made progress in multiple key areas. In terms of mathematical abilities, Qwen3-30B-A3B-Thin

Alibaba's Qwen team released Qwen3-30B-A3B-Instruct-2507, a 3B-parameter model rivaling Gemini2.5-Flash and GPT-4o. It excels in multilingual tasks, long-context processing, and benchmarks, with some metrics surpassing GPT-4o. Now available on ModelScope and HuggingFace.....

Alibaba opensources the video generation model Tongyi Wanxiang Wan2.2, which includes three core models: text-to-video, image-to-video, and unified video generation. Innovations include: 1) the first MoE architecture in the industry, improving computational efficiency by 50%; 2) a cinematic aesthetic control system, enabling precise control over lighting, color, and other cinematic effects; 3) a 5B small-sized unified model that can be deployed on consumer-grade GPUs. This series of models has been open-sourced on platforms such as GitHub, with over 5 million downloads, significantly lowering the barrier to AI video generation.

Recently, Tmall Elf officially announced the launch of the new Wow AI Sister Machine Smart Version. This new product features a large AI screen, offering excellent audio and visual experience and smart functions. Upon its release, it immediately attracted the attention of many consumers, and now it is available for reservation across all channels. The Wow AI Sister Machine Smart Version offers users three versions to choose from, meeting different needs. The 6+128GB version has a promotional price of 3,699 yuan, the 6+256GB version is priced at 3,999 yuan, and the long-lasting battery version is 4,399 yuan.

Tongyi Lingma announces the launch of a new Qwen3-Coder model, and this powerful feature will be freely available to users without any usage limits. Users can now easily experience the efficient programming assistance provided by Qwen3-Coder in the Tongyi Lingma AI IDE, VSCode, and JetBrains plugin.

Alibaba's Qwen3-Coder tops Hugging Face's model rankings as the hottest open-source AI coding model, outperforming GPT-4.1 and Claude4 with its MoE architecture, excelling in multi-agent tasks, and surpassing 20M downloads. Tech leaders praise it as a breakthrough for Chinese open-source AI.....

The Qwen-MT machine translation model is officially released. Qwen-MT is based on the powerful Qwen 3 model, and has been trained on a massive amount of multilingual and translation data. It combines reinforcement learning technology to significantly improve the accuracy and fluency of translation results. Developers can experience its fast and accurate translation capabilities directly through the Qwen API (qwen-mt-turbo). The core highlights of Qwen-MT include supporting bidirectional translation between 92 languages, covering more than 95% of the global population, and meeting a wide range of language communication needs.

On July 23, Alibaba Cloud officially announced that its latest AI programming large model, Qwen3-Coder, is fully open-sourced, which quickly sparked a buzz in the field of intelligent programming. Qwen3-Coder has achieved top performance among open-source models in agentic coding, agentic browser use, and basic coding tasks, thanks to its outstanding code generation and agent capabilities, marking a new stage in intelligent programming technology. The Qwen3-Coder model series provides

Alibaba's Qwen3-235B-A22B-Instruct-2507-FP8 update features non-thinking mode and 256K context length. Open-sourced on ModelScope/HuggingFace, enhancing complex AI tasks and text generation.....

Welcome to the AIbase [AI Daily Report] section! Spend three minutes a day to learn about the latest AI events, helping you understand AI industry trends and innovative AI product applications. For more AI news, visit: https://www.aibase.com/zh1. Baidu officially releases the WENXIN Large Model 4.5 series and fully opens it to the public, featuring ten new models with various parameter configurations. These models are trained and inferred using the PaddlePaddle framework, achieving a FLOPs utilization rate of 47%, and perform well in multi-modal text tasks.

Recently, the Qwen VLo multimodal large model was officially released, achieving significant advancements in image content understanding and generation, offering users a brand-new visual creation experience. According to the introduction, Qwen VLo has been comprehensively upgraded based on the advantages of the original Qwen-VL series models. The model not only can accurately understand the "world", but also can perform high-quality re-creation based on understanding, truly achieving the transition from perception to generation. Users can now access Qwen Chat (chat.qwen.ai)

On June 19th, the Tongyi APP has comprehensively upgraded its translation capabilities, covering four core scenarios: text translation, simultaneous interpretation translation, document translation, and image translation, creating the strongest translation complex for individual and professional users. After the upgrade, the translation capabilities support 119 languages and dialects, achieving comprehensive improvements in accuracy, professionalism, and interaction experience. Whether it's cross-border office work, academic reading, or travel, the Tongyi APP can provide a truly all-scenario and all-modal translation solution. The Tongyi APP now supports 119 languages and dialects.

Recently, the Natural Language Intelligence Team of the Tongyi Lab officially released and open-sourced VRAG-RL — a multi-modal RAG reasoning framework driven by visual perception. It aims to solve the problem of how AI can retrieve key information and conduct fine-grained reasoning from visual languages such as images, tables, design drafts, etc., in real-world business scenarios. Retrieving and reasoning about key information in complex visual document knowledge bases has always been a major challenge in the AI field. Traditional retrieval-augmented generation (RAG) methods struggle when handling visually rich information because they find it difficult to...

In May, Quark officially launched the new "Advanced Research" feature and began inviting users for limited early access. This function is based on the Tongyi Qianwen large model, supporting complex topics such as academic research subjects and industry analysis, completing the entire process from material collection, data analysis, viewpoint extraction to report generation. It enables the user to input a topic and output a finished product. Users can now apply for an invitation code through the Quark App or PC version, activate their eligibility, and then click the 'Advanced Research' icon on the home page to submit their requests. The system will automatically generate a structured report within a few minutes and supports exporting it as a PDF.

Artificial intelligence company Tongyi Labs has officially launched Mobvoi MCP Server and open-sourced the code, truly helping users achieve freedom in AI capabilities by integrating multiple AI functions in one place. The Mobvoi MCP Server integrates several capabilities such as voice generation, sound cloning, digital human image-driven services, video dubbing, and video translation. Users can simply input text to flexibly call these services. Currently, the platform has been compatible with Cursor, Cline, Claude Desktop, etc.

Against the backdrop of the rapid development of the AI agent market, the Alibaba Cloud Qianlian MCP Plaza has officially launched. Meitu Imaging, Yingmi Qianshan, XiaoIce Digital Humans, and more than 40 high-quality MCP services have made their debut, providing users with capabilities to build AI agents across multiple fields such as image editing, financial analysis, digital humans, etc. With the significant enhancement of large model inference capabilities, intelligent application is experiencing explosive growth. Market research institutions such as Markets and Markets and IDC predict the smart agent market will reach hundreds of billions of US dollars.

Qianwen Wanxiang announces the open source of VACE, marking a major technological revolution in the video editing field. This open-sourced Wan2.1-VACE-1.3B supports a resolution of 480P, while Wan2.1-VACE-14B supports both 480P and 720P resolutions. The emergence of VACE brings a one-stop video creation experience to users, allowing them to complete various tasks such as text-to-video generation, image reference generation, local editing, and video extension without frequently switching between different models or tools, greatly improving efficiency.

At the recent Shanghai Auto Show, Zhuoyu Technology (hereinafter referred to as "Zhuoyu") announced its successful integration of Alibaba's Tongyi large model, marking another significant advancement in the field of intelligent driving. As an intelligent driving solutions provider and service provider, Zhuoyu leverages Alibaba Cloud's powerful computing capabilities to build an end-to-end intelligent driving world model, aiming to enhance the intelligence level of vehicles. In recent years, intelligent driving technology has rapidly developed, with major automakers significantly increasing their investment in this area. Zhuoyu Technology's collaboration with Alibaba's Tongyi large model has...

Alibaba's Tongyi announced the open-sourcing of the Wan2.1 series of models, including a powerful first and last frame video generation model. This model utilizes the advanced DiT architecture, achieving several technological breakthroughs. It significantly reduces the computational cost of generating high-definition videos while ensuring high temporal and spatial consistency. This open-sourcing provides developers and creators with powerful tools, driving the advancement of video generation technology.