1. MiniMax launches open-weight H3-Image model generating 4K images in 10 seconds

MiniMax has released MiniMax H3-Image, a new image generation model capable of producing 16-megapixel (4K) images in about 10 seconds. The model supports precise prompt following and editing, and can use up to 16 reference images. It is open-weight and available on Hugging Face, as well as through MiniMax’s API, MiniMax Code, and Hailuo AI. MiniMax is offering 50% off 16MP+ generations during the launch week.
Read more: https://mp.weixin.qq.com/s?__biz=MzE5MTA3NzcxMQ==&mid=2247489228&idx=1&sn=7611a433102ca91044ef5e71f19ee291&chksm=971065dd5787f88dc20ae941f5d5d910b020ea49861ff053f9edddcdb7eb2af6963960eedd83&scene=0&xtrack=1#rd

Video Credit: @MiniMax_AI on X

2. Qwen launches Qwen4-Max-Preview model with enhanced 3D modeling and game development capabilities

Qwen announced Qwen4-Max-Preview, a new AI model version with improved capabilities for 3D modeling, game development, computer operations, and PPT design. The announcement highlights user-created applications including 3D scenes, playable games, and creative content inspired by variety shows. Qwen is launching a creative challenge in partnership with Tmall Supermarket to encourage users to create works using the model across various themes and scenarios.
Read more: https://mp.weixin.qq.com/s?__biz=MzE5ODI2NzI5Nw==&mid=2247494355&idx=1&sn=2cb27389787076be97bc36b8cad02e25&chksm=9780efc872a8fc7fae65a62c2f38967c1c2c340a746a4b7ff384cbbe86e0c65a8c23beaecd35&scene=0&xtrack=1#rd

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3. Tencent launches Yuanbao Search, an AI-powered search engine covering web pages, WeChat content, and academic literature

Tencent officially launched Yuanbao Search, a new AI-powered search product available at so.qq.com and integrated into the latest version of QQ Browser. The search engine is built on Yuanbao’s large language model capabilities, reconstructing the entire search pipeline from query understanding to answer generation. It covers web pages, WeChat Official Accounts, Video Accounts, and academic literature with a hundred-billion-level index, prioritizing authoritative sources and clearly separating advertisements from search results. Key features include multimodal input support, AI-generated summaries, academic paper translation and interpretation, and a recursive self-improvement mechanism based on user feedback.
Read more: https://mp.weixin.qq.com/s?__biz=MjM5MDgwMzc4MA==&mid=2654909998&idx=1&sn=8ea78973e0407c4b7a0c0e41997b084f&chksm=bcd8d6926218ec0bfcc1da0676c276119e9dcb2356e20621f1ad2c33c1a628c712fe6cba49ec&scene=0&xtrack=1#rd

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4. Qwen releases Qwen Code 1.0 Preview with integrated Qoder Harness capabilities as open source

Qwen announced the release of Qwen Code 1.0 Preview, integrating Harness capabilities from Qoder into Qwen Code and making them available as open source. The update introduces an event-driven architecture that connects external inputs, tool execution, and model inference, allowing developers to embed AI agent capabilities into their own products. The new architecture supports distributed scaling with separation of reasoning and execution, enabling higher concurrency and better resource management for multi-session agent applications. Qwen Code 1.0 Preview is released as an independent branch on GitHub, while the stable branch remains available.
Read more: https://mp.weixin.qq.com/s?__biz=MzE5ODI2NzI5Nw==&mid=2247494323&idx=1&sn=d50274344f94f4513f19a76892c504f7&chksm=97c8510f7f7ed05b6fb89731bc2ba46779dc3e18aa0b43a7b4f98802f580195041c951602791&scene=0&xtrack=1#rd

Video Credit: The original article

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1. Baidu Introduces ERNIE Evolve, an Automated AI Research System

Baidu announced ERNIE Evolve, an automated research system that selects research directions, modifies code, and runs experiments toward a given research goal. Improvements are kept only after passing independent evaluation and review, with each round informing the next. Baidu reported state-of-the-art results on NanoChat AutoResearch and NanoGPT Speedrun benchmarks, along with a 33.7 percent increase in deterministic GPU inference throughput and a 14.9 percent reduction in single-request decoding latency on ERNIE 5.5 Flash. Baidu described the system as a step toward recursive self-improvement and plans to extend the approach to training systems, model capabilities, and evaluation.
Read more: https://ernie.baidu.com/research/posts/ernie-evolve/

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2. Qoder launches Qoduck, a new anonymous AI model with advanced 3D rendering and frontend development capabilities

Qoder released Qoduck, a new anonymous AI model available in its desktop application on November 7, offering free daily credits for personal users. A developer tested Qoduck with 40 generation tasks and found it particularly strong in 3D graphics, creating complex WebGL2 projects like black holes with gravitational lensing and perpetual marble machines without using frameworks like Three.js. The model demonstrates solid frontend development skills, especially when paired with the frontend-rails skill that enforces design system consistency and multi-viewport testing. Qoduck outputs detailed delivery reports documenting its testing process and shows performance comparable to other leading AI coding models.
Read more: https://mp.weixin.qq.com/s?__biz=MzE5ODI2NzI5Nw==&mid=2247494264&idx=1&sn=37e5dd9aa20e4b899ed92b374496bd83&chksm=9703564a4e016ac9026c20bb6f35eea4098e7043c300989674ea2f519e707399e742b9ca5bff&scene=0&xtrack=1#rd

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3. ByteDance releases Seedream 5.5 image generation model with multi-round editing and native RGBA transparency support

ByteDance officially released Seedream 5.5, a new generation image creation model with three core capability upgrades. The model supports pixel-level preservation in non-edited areas during multi-round editing, enabling up to 100 consecutive editing rounds on the same work while reducing detail loss and quality degradation. It natively generates RGBA transparent images with Alpha channel, eliminating the need for post-production background removal. The model also improves realistic rendering of lighting, materials, and skin textures, and significantly enhances text rendering accuracy for complex characters and small dense text. Benchmark results show Seedream 5.5 leads mainstream models in text structure and text-to-image realism, and the model is now rolling out on platforms including Jimeng, Doubao, Doubao Work, and Volcano Engine.
Read more: https://mp.weixin.qq.com/s?__biz=MzkzMDY5MzYxNg==&mid=2247494758&idx=1&sn=25bbe45475edfa51ba3d0db95efda781&chksm=c3485ef2cde949c37656975a21f29a1608a307b8c6acb195adb48be35f9a0a1925a51d281e46&scene=0&xtrack=1#rd

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1. Tencent Releases New Hunyuan Model Hy4 with Vision Capabilities

Tencent’s Hunyuan team launched a new model called Hy4 that adds vision capabilities to its lineup. The company says the model ranks among the leading open models available. Hy4 is positioned for use across finance, frontend development, gaming, office work, and research tasks. Tencent states the model was built with cybersecurity and biosecurity considerations in mind.
Read more: https://hy.tencent.ai/research/hy4?langVersion=en

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2. Moonshot AI releases open-weight Kimi K3.1 Pro model

Moonshot AI has released the model weights for Kimi K3.1 Pro, making the model openly available. The company stated the release reflects its continued commitment to advancing open intelligence. The announcement was shared via the official Kimi Moonshot account. No additional technical specifications were disclosed in the announcement itself.
Read more: https://huggingface.co/moonshotai/Kimi-K3.1-Pro

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3. Baidu Releases ERNIE 5.5 Flash Base, a Sparse MoE Language Model

Baidu released ERNIE 5.5 Flash Base, an efficient sparse mixture-of-experts base language model. The model has 280 billion total parameters with 14 billion activated per token, and was pre-trained on 33.5 trillion tokens across multiple domains and languages. It achieves state-of-the-art results on multiple benchmarks among similarly sized base models and supports up to 1 million tokens of context for fine-tuning and inference. The weights are released directly from pre-training, with no mid- or post-training applied, and are available in FP8 and BF16 formats.
Read more: https://ernie.baidu.com/release/ernie-5-5-flash-base/

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4. Ant Group Unveils Ling-3.2-flash, a 560B-Parameter Multimodal Model Outperforming Opus 5 on Key Benchmarks

Ant Group’s Ling AGI team introduced Ling-3.2-flash, a native multimodal model with 560 billion total parameters and 25 billion active parameters. The model emphasizes stronger complex visual understanding, long-horizon multimodal agent capabilities, 3D understanding and interaction, and medical intelligence. According to release evaluations shared by the team, Ling-3.2-flash outscored Opus 5 (max) on OmniDocBench1.5 (92.21 vs 90.56), ZEROBench Sub (43.71 vs 39.52), and Vision2Web (85.86 vs 80.20). The announcement was made via the AntLingAGI account on November 5, 2026.
Read more: https://x.com/AntLingAGI/status/2118428246664761379

Video Credit: The original article

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1. Moonshot AI Launches 3D Make Feature in Kimi for Model and Game Creation

Moonshot AI introduced a new feature called 3D Make within its Kimi AI assistant. The feature connects Kimi to external tools such as Blender and CAD software to create 3D models, assemble scenes, and develop games. It is now available through the Kimi platform and Kimi Work. The release expands Kimi’s capabilities beyond text and code into 3D content creation workflows.
Read more: https://www.kimi.ai/academy/3d-tutorial

Video Credit: @Kimi_Moonshot on X

2. Meituan LongCat unveils LongCat-2.5, a 1.6T-parameter multimodal agentic model

Meituan’s LongCat team introduced LongCat-2.5, a natively multimodal agentic model with 1.6 trillion total parameters and about 48 billion active parameters. The model is designed for long-horizon agentic tasks and features stronger visual understanding and agentic coding abilities. It targets use cases ranging from complex coding projects to visual coding tasks such as creative design and 3D work. The announcement was shared via Meituan LongCat’s official account with a link to more details.
Read more: https://longcat.ai/blog/longcat-2.5/

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3. Tencent Unveils Hyra 2.0, Next Version of Hunyuan Research Agent

Tencent’s Hunyuan team announced Hyra 2.0, an upgraded version of its Hunyuan Research Agent. The new release shifts focus from solving individual problems to building reusable tools, models, and workflows intended to speed up future research. Tencent describes the update as the next chapter in its AutoResearch initiative. The company shared its perspective on this direction alongside the announcement.
Read more: https://hy.tencent.com/research/hyra2

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1. Tencent’s Qoder launches low-cost Lite plan for AI coding agent

Tencent’s Qoder AI IDE introduced a new subscription tier called Qoder Lite, priced at 10 dollars per month and including 1,000 credits. The plan uses flash models for everyday coding tasks and flagship models for more demanding work. New subscribers receive double credits during their first month. The launch is aimed at making serious AI coding agent tools more accessible to budget-conscious developers.
Read more: https://x.com/i/web/status/2114625453319504073

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2. OpenBMB releases MiniCPM-OCR suite with two open-source models for fast, verifiable OCR

OpenBMB released the MiniCPM-OCR suite, an open-source OCR toolkit consisting of two new models. MiniCPM-OCR 1.0, a 1B-parameter model, achieves state-of-the-art OCR speed and accuracy, scoring 93.68 on Real5-OmniDocBench and 54.7 on OCRBench v2. MiniCPM-OCR Jev, a 2B-parameter model-agnostic verifier, checks text, formulas, and tables from OCR outputs and scores 93.6 on JevOCRBench, surpassing JEV-35B-A3B and approaching Qwen3.5-397B-A17B. With the DSpark SDK, the suite processes up to 128 pages per minute and supports day-0 deployment on Arm, Intel, NVIDIA, Houmo AI, and other chip vendors via FlagOS.
Read more: https://github.com/OpenBMB/MiniCPM-OCR

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3. Vidu Previews Q4 Model With Live Miniature-World Storytelling Demo

Vidu, an AI video generation company, announced a live demonstration of its Vidu Q4 Preview model on October 25 at 20:00 UTC+8. The event, in collaboration with content creator ALT AUDIO-VISUAL ROOM, will show the creative process of turning a story about an orca matriarch named J2 into a miniature-world style animated scene. The livestream will be broadcast on YouTube and is intended to showcase the model’s storytelling and visual generation capabilities. The announcement highlights an upcoming product feature preview rather than a general release.
Read more: https://x.com/ViduAI_official/status/2114200023097651381

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1. Moonshot AI launches Kimi K3.1 Pro, a 3T-class open-weight multimodal model

Moonshot AI introduced Kimi K3.1 Pro, a mixture-of-experts model with 2.8 trillion total parameters and 104 billion active parameters, supporting a 1-million-token context window and multimodal inputs. The model supports full-project coding including game development in Unreal, Unity and Godot, and parametric 3D modeling in Blender and CAD. Moonshot AI reports a 65% reduction in hallucination for financial modeling tasks and benchmark performance matching leading proprietary models in coding, agentic, and knowledge tasks. K3.1 Pro and a faster variant, K3.1 Pro Highspeed, are now available via Kimi.com, Kimi Work, Kimi Code, and the Kimi API, with open weights planned for release by November 4, 2026.
Read more: https://www.kimi.ai/blog/kimi-k3-1-pro

Video Credit: The original article

2. MiniMax Open-Sources M3.1 Flash Model Weights With 428B Parameters

MiniMax released the weights of its M3.1 Flash model to the public on Hugging Face and ModelScope. The model has 428 billion total parameters with 23 billion activated per token, using a mixture-of-experts design. MiniMax reports strong agentic performance, scoring 76.2 on BankerToolBench, 73.7% on DeepSWE v1.1, 61.7 on OSWorld V2, 29.6 on Agents’ Last Exam, and 82.2 on CyberGym. The model also uses MiniMax Sparse Attention and DSpark speculative decoding to improve inference efficiency, and is accessible via API and the MCode desktop tool.
Read more: https://mp.weixin.qq.com/s/uqZpu1NYy7Iwn2Aj9OKL1g

Video Credit: NotebookLM

3. Alibaba’s Ant Ling team unveils Ling-3.1-flash-1019 with higher intelligence and agentic benchmark scores

Alibaba-affiliated team Ant Ling AGI introduced Ling-3.1-flash-1019, an updated version of its Ling-3.1-flash model. The model scored 44 on the Artificial Analysis Intelligence Index, up from 41 for the previous version. It also showed gains on agentic benchmarks, with AA-Briefcase rising from about 1400 to 1524 Elo and AutomationBench-AA improving from 62% to 68%. API access and open weights for the model are expected to be released soon.
Read more: https://x.com/i/web/status/2113226531522891851

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1. DeepSeek Open-Sources DeepInfer Inference Framework Powering DeepSeek-V4.1-Flash

DeepSeek has open-sourced DeepInfer, its in-house inference framework used to power DeepSeek-V4.1-Flash in production. The framework is designed for high throughput and low latency at scale. DeepSeek says releasing its production stack aims to help the community lower compute costs and reduce energy use. The move extends DeepSeek’s pattern of open-sourcing core infrastructure alongside its models.
Read more: https://mp.weixin.qq.com/s/5MEu2eeqNfBWXlkCKTd6sg

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2. Unitree unveils H2-X ‘Kung Fu Legend Guardian’ security robot with up to 8-hour endurance

Unitree Robotics introduced the H2-X, a humanoid robot marketed as the ‘Kung Fu Legend Guardian,’ designed for guarding and service tasks. The company states the robot offers a maximum endurance of approximately 8 hours. Unitree also urged users to operate the robot safely and in a friendly manner. The announcement was shared on Unitree’s official account alongside a demonstration video.
Read more: https://x.com/i/web/status/2112819774573179175

Video Credit: @UnitreeRobotics on X

3. Tencent’s Qoder launches Qoder Lite, a $10/month AI coding plan with multi-model routing

Tencent’s Qoder AI IDE launched Qoder Lite, a new $10 per month subscription tier offering 1,000 credits. The plan routes everyday tasks to Flash models at a reduced 0.1x credit cost, while more demanding tasks are handled by Qwen3.8-Max, DeepSeek-V4-Pro, or Kimi-K3. As a launch promotion, first-time subscribers receive an additional 1,000 bonus credits, doubling their first month’s allowance to 2,000. The tiered model routing aims to balance cost efficiency with capability for complex coding tasks.
Read more: https://mp.weixin.qq.com/s/rHSzJcyhH0GkTDcs4Wi5wg

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1. DeepSeek Releases V4.1-Flash-1017 with Faster, Cheaper Performance

DeepSeek announced the release of DeepSeek-V4.1-Flash-1017, an updated model now available on its website, app, and API. The company says the new version delivers stronger benchmark performance, faster task completion, and shorter outputs compared to its predecessor, representing a Pareto improvement in both performance and cost. The model is optimized for use with DeepSeek Harness, Tencent CodeBuddy, and WorkBuddy. DeepSeek recommends upgrading to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model.
Read more: https://mp.weixin.qq.com/s/X-5kbBkedQ5Oct9byUunag

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2. DeepSeek Opens Search and Fetch APIs to All Developers

DeepSeek has opened its Search and Fetch APIs to all developers. The APIs are powered by DeepSeek’s in-house search engine, which handles hundreds of millions of requests daily worldwide. Each endpoint is priced at 0.75 US dollars per 1,000 calls. Calls made through server-side tools in DeepSeek Harness, Claude Code, and Codex remain free for DeepSeek API users until billing begins on October 31, 2026 at 16:00 UTC.
Read more: https://api-docs.deepseek.com/guides/search/

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3. Alibaba’s Ant Group Open-Sources Five Ming-3.0 Speech AI Models

Ant Group released five open-source Ming-3.0 models spanning three speech-related families: text-to-speech, audio understanding, and automatic speech recognition. The TTS family includes a 0.5B model for voice design and paralinguistic control and a 7.9B (1.3B active) model for long-form speech. The audio family includes a 126B (6.5B active) model for understanding and tool use and a 9.3B (2.7B active) model for efficient dialogue. The ASR family adds an 8.6B (2B active) model supporting dialects and contextual recognition.
Read more: https://mp.weixin.qq.com/s/UZ30ww14wXhgOJ4jqnCnKA

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4. OpenBMB’s MiniCPM-V 4.7 ranks third on Hugging Face trending list

OpenBMB announced that its MiniCPM-V 4.7 multimodal model reached third place on Hugging Face’s trending list. The release includes a 35B-A3B mixture-of-experts model that runs smoothly on iOS and Android devices using about 3GB of memory. A smaller 1B parameter variant delivers strong performance on OCR, math, and video understanding tasks. The model and code are available on GitHub and Hugging Face.
Read more: https://github.com/OpenBMB/MiniCPM-V

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1. Alibaba’s AntLingAGI open-sources Ling-3.1-flash with 560B parameters and 1M context window

AntLingAGI, part of Alibaba’s Ant Group AI efforts, has open-sourced Ling-3.1-flash, a large language model with roughly 560 billion total parameters and about 25 billion active parameters per token. The model supports a context window of up to 1 million tokens. It is designed for practical use cases, able to turn a rough brief into a webpage, mobile UI, or interactive prototype for teams to review. A demo was shared alongside the announcement.
Read more: https://huggingface.co/inclusionAI/Ling-3.1-flash

Video Credit: @AntLingAGI on X

2. OpenBMB and Tsinghua THUNLP Release Open-Source AI Agent Harness PilotDeck 2.0

OpenBMB, Tsinghua THUNLP, ModelBest, and AI9Stars released PilotDeck 2.0, an open-source, model-agnostic AI agent operating system that executes natural language instructions with transparent data flows. The update adds end-to-end office document handling for Word, Excel, and PowerPoint, more reliable execution of long-running tasks stress-tested across 2,000 interaction messages, and a one-click desktop installer. On the WorkBuddy Bench benchmark, PilotDeck scored 79.1 using the Qwen3.6-35B-A3B model, outperforming WorkBuddy’s 74.7 and Claude Code’s 77.3. The project remains fully open-source, letting users choose their own underlying models.
Read more: https://github.com/OpenBMB/PilotDeck

Video Credit: @OpenBMB on X

3. Qoder releases custom Agent and Agent Team features for individual users

Qoder has opened its Agent and Agent Team features to individual users, allowing them to configure custom AI agents with specific responsibilities, work requirements, and available tools. Users can create specialized agents for tasks like competitive research or code review by combining skills, MCP data sources, and plugins. For complex tasks requiring multiple roles, users can form agent teams led by a Leader agent that coordinates work across members, each operating in separate conversation contexts to manage complexity and reduce context window burden.
Read more: https://mp.weixin.qq.com/s?__biz=MzE5ODI2NzI5Nw==&mid=2247493374&idx=1&sn=ab854f04301e1d182cf0708d0a191f91&chksm=97c9186d231cbe026c870043a7ad34188d06d3a9f5625f799fea1fbe4f8177e21e7174629924&scene=0&xtrack=1#rd

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1. OpenBMB Releases MiniCPM-V 4.7, a 35B MoE Multimodal Model That Runs on Mobile Phones

OpenBMB has released MiniCPM-V 4.7, a 35B-parameter MoE multimodal model that can run on mobile phones with as little as 3GB of memory. The model uses a technique called Lookahead Expert Scheduling (LES) to enable efficient MoE inference on mobile devices, and a lightweight 1B variant is also available for resource-constrained hardware. It supports tasks such as reading real-world signs, parsing complex documents, and reasoning over visual data on both iOS and Android. A companion method, Self-Replay Fine-Tuning (SRFT), lets developers customize the model for new tasks while preserving general performance.
Read more: https://github.com/OpenBMB/MiniCPM-V

Video Credit: @OpenBMB on X

2. Alibaba Releases Qwen-Image-2.1-Turbo with Open Weights for 8-Step Image Generation

Alibaba’s Qwen team released Qwen-Image-2.1-Turbo, an accelerated checkpoint of the 7B-parameter Qwen-Image-2.1 visual generation model that creates and edits images in just 8 denoising steps. The model retains support for 2K text-to-image generation and natural-language editing despite the reduced step count. Open weights are available on Hugging Face and ModelScope, and the model can be used directly via the Diffusers library. Alibaba also launched official Pro and Turbo API endpoints for hosted access.
Read more: https://modelscope.cn/models/Qwen/Qwen-Image-2.1-Turbo

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3. Z.ai Launches GLM-Legal, a Legal-Domain AI Model Built on GLM-5.3-Flash

Z.ai introduced GLM-Legal, a specialized legal AI model built on its GLM-5.3-Flash foundation model. The company says GLM-Legal matches frontier models on mainstream legal benchmarks. The model is designed for real-world legal workflows including contract review, evidence analysis, and compliance checks. Z.ai published a technical blog post detailing the model and opened API access applications alongside a demo tool called AutoClaw.
Read more: https://z.ai/blog/glm-legal

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