Search results：multimodal

10 results

Direct 4K Resolution! Google's New Gemini Omni 1.1 Flash Video Model Makes a Big Debut

Google launched Gemini Omni1.1 Flash, an AI video model with up to 4K output, upgrading scene expansion, camera control, and efficiency for developers and creators. It supports direct scene extension, pushing multimodal video generation toward higher resolution and longer duration.....

3 days ago19.2K

Qwen3.8-Flash-Next Released, Early Spoiler of Qwen4 Architecture

Alibaba's Qwen team open-sourced Qwen3.8-Flash-Next, a multimodal MoE model previewing Qwen4. It has a highly sparse MoE design with 125B parameters, plus a 51B N-gram embedding table and 4B multi-token prediction module, delivering superior performance at very low compute cost.....

4 days ago15.0K

Domestic Large Model Strikes a Big Hit! Zhipu GLM-5.3-Flash Native Multimodal Revolutionizes the Industry Price War

Zhipu AI released GLM-5.3-Flash, also known as the mysterious model Ox-Alpha from the open-source community. As the first native multimodal model in the GLM-5 series, its performance rivals global top-tier flagship models, and it redefines industry competition rules with its disruptive pricing and fully domestic computing infrastructure.

4 days ago16.6K

Price Cut to 1/40! Zhipu Opensources Native Multimodal Large Model GLM-5.3-Flash

Zhipu open-sourced native multimodal GLM-5.3-Flash (320B-A18B), advancing AI accessibility with top performance and extreme pricing. It scored 57, matching Claude Opus 4.8 with comparable coding and surpassing GLM-5.2 overall. Tested anonymously as 'Ox-Alpha' pre-release, it topped OpenCode and OpenRouter.....

4 days ago17.2K

Qwen3.8-Flash-Next Architecture: A Lightweight Multimodal Large Model Achieving Performance Breakthrough

Alibaba Qwen released multimodal MoE Qwen3.8-Flash and open-sourced next-gen Qwen3.8-Flash-Next (Qwen4 prototype). 125B total params, 51B N-gram embedding, 6B active per token; native 260K context, up to 1M. Training cost 1/9 of previous; API: input ¥1/M tokens, output ¥3/M.....

4 days ago16.8K

Global First Cooking AI Foundation Model Trained on Real Data Released, Cooking Robots Enter a New Era of Embodied Intelligence

On Aug 23, Oak Deer Robotics launched CookingMuse, the world's first multimodal cooking AI foundation model trained on real kitchen data, shifting cooking AI from command execution to deep understanding and real-world use. It also unveiled a 3K vision AI stir-fry robot and embodied cooking robot, covering the full cooking process.....

08-2418.7K

Kimi K2.5 Retires at the End of This Month: The First Generation Trillion-Parameter Multimodal Model of Moonshot AI Says Goodbye

Moonshot AI announced its trillion-parameter multimodal model Kimi K2.5 will end service at the end of this month. Open-sourced in January, it supports vision and text input, thinking/non-thinking modes, dialogue and agent tasks, and achieved SOTA on open benchmarks in code, image, and video. Next-generation K3 will take over with larger scale.....

08-2413.4K

Watch Out! DeepSeek Flash Vision Model Gets a Sudden Update, Supports Multimodal

The DeepSeek toolchain is upgraded to version 0.1.1-rc.1, adding the visual model experience version V4Flash Vision-Exp on top of V4Flash and V4Pro. Previously, version 0.1.0-rc.8 had already enabled multimodal capabilities, supporting native image requests and mixed text-image input with commands such as /goal and /plan.

08-2134.8K

Alibaba Open Sources Qwen-UI-Agent: The Real-World Multimodal Foundation Model Arrives

Alibaba launches the GUI Intelligent Agent Foundation Model Qwen-UI-Agent, centered on the real world, covering mobile, desktop, web, and deep search, aiming to break through the limitations of simulated testing and achieve seamless operation on complex real devices. It achieved a high score of 82.1% in the MobileWorld mobile test, leading multiple mainstream models, with comprehensive performance comprehensively surpassing industry benchmarks.

08-2133.5K

SenseTime Technology Open Sources 8B Lightweight Multimodal Large Model: Native 4K Output, Comprehensive Visual Editing

SenseTime opensources the 8B lightweight unified multimodal model SenseNova U1.5Lite, which demonstrates superior performance in core visual tasks, comparable to large-scale commercial models in handling complex layouts and text rendering; it natively supports 3-4K context length, enabling processing of multiple constraints such as subject, quantity, spatial relationships, text, layout, and style simultaneously.

08-2132.6K