Large Model

Google introduces advanced AI models with powerful reasoning capabilities, multimodal support, and ultra-long context windows for multiple scenarios such as academic research, software development, creative work, and enterprise applications.

The world's first big model of music reasoning introduced with thought chain technology released by KunlunWanwei supports multi-style and emotional music generation, song reference and tone cloning with low latency and high quality performance, and opens up API services for enterprises and developers to integrate the application.

The world's largest biology AI model, jointly developed by multiple top organizations, is trained based on massive genetic data and can accurately predict genetic variants and generated sequences to help breakthroughs in life sciences.

Amazon has introduced a new generation of generative AI speech models with unified model architecture, natural and smooth voice interaction, real-time two-way conversation capability and multi-language support, which can be widely used in multi-industry scenarios.

Baidu launched a multimodal strong inference AI model, the cost of which is directly reduced by 80%, supports cross-modal interaction and closed-loop invocation of tools, and empowers enterprises to innovate intelligently.

Baidu has launched a new generation of high-level AI assistants to disassemble complex tasks and automate the entire process with autonomous deep thinking, multimodal toolchain invocation and extreme cost advantages.

Ema introduces a hybrid expert modeling system that dynamically combines multiple models to accomplish enterprise-class AI tasks at low cost and high accuracy.

Xiaomi's open-sourced 7 billion parameter inference macromodel, which outperforms models such as OpenAI o1-mini in mathematical reasoning and code competitions by a small margin.

A platform that connects experts with AI model development to optimize the quality and reliability of generative AI through human expertise.

Anthropic's Claude 5.5 series offers the Opus, Sonnet, and Haiku tiers, covering complex programming, knowledge work, and high-frequency summary extraction tasks.

Google introduced a lightweight open source large language model , both high performance and easy to deploy , suitable for local development and multi-scenario applications .

DeepMind's advanced world model generates interactive, physically logical 3D virtual environments in real time from textual cues, and is widely used in gaming, education, and AGI research.

OpenAI's models for visual understanding, computer operations, and natural language generation are well-suited for office work, data analysis, and automation tasks that require a balance between speed and cost.

ByteDance's open-source 36 billion parameter-long contextual big language model supports 512K tokens, a controlled mind budget, excels in inference, code and agent tasks, and is freely commercially available under the Apache-2.0 license.

Alibaba's flagship large model with trillions of parameters, supporting ultra-long context, multi-language understanding and powerful inference programming capabilities, is built for complex tasks and enterprise-class applications.

Tencent launched the open source raw image model, which natively supports 2K HD raw images, accurately parses complex semantics, and can efficiently generate high-quality images with Chinese and English fusion.

Ali open source 80 billion parameters of the big model, 1:50 super sparse activation, millions of contexts, the cost down 90%, the performance is comparable to the hundreds of billions of models.

Tencent's latest release of 3D generated models, modeling accuracy increased by 3 times, geometric resolution of 1536³, support for 3.6 billion voxels of ultra-high definition modeling, and significant enhancement of detail expression.

Google DeepMind's models for complex reasoning, software engineering, and multimodal long-form data analysis are available through the Gemini app, AI Studio, and APIs.

The world's first large model of mathematical reasoning in open source form to reach the gold medal level of the International Mathematical Olympiad (IMO), realizing the rigor of reasoning and the ability to solve difficult mathematical problems through a self-verification framework.

Runway's first universal world model simulates physical laws and dynamic environments through frame-by-frame pixel prediction technology. It supports robot training, digital human generation, and cross-domain simulation, redefining how AI understands and interacts with the world.

NVIDIA's open-source AI model series, featuring Nano, Super, and Ultra variants, is specifically designed for intelligent agent applications, delivering high efficiency and precision.

Google's open source lightweight multimodal translation model supports 55 languages and image translations, with performance that exceeds larger models, taking into account both mobile and cloud deployments, and facilitating efficient globalized communication.

Alibaba launched the strongest domestic programming model, with intelligent body programming, multimodal reasoning and millions of contexts as the core, support for the independent disassembly and execution of complex tasks, taking into account the high performance and low threshold, known as the developers and enterprises of the “all-round programming assistant”.

Google DeepMind has introduced an autonomous robot AI model with powerful embodied reasoning capabilities that can efficiently accomplish tasks such as industrial instrumentation reading, complex task planning, and security risk prevention and control.

The world's first open-source quantum AI model series, through AI-driven quantum chip calibration and error correction, provides a high-performance tool chain for practical quantum computing and reshapes the quantum industry ecosystem.

Lightweight large model with 100 billion parameters, focusing on high token efficiency and low latency, good at code completion, long document processing and light Agent interaction, cost-controlled, suitable for high-frequency calls and scenario-based tasks.

The open source streaming 3D reconstruction model of AntLingwave Technology can complete the scene 3D reconstruction and camera position estimation in real time based on a single common camera, combining the advantages of high precision, long sequence stable operation and low hardware requirements.

The V4 model series, developed through in-depth research, includes V4.1-Flash—which supports text-and-image understanding, long context, and tool invocation—as well as V4 Pro, which continues to provide services.

AliQianwen, the first native language world model released on June 24, 2026, uses plain text to uniformly simulate seven major digital environments, allowing agents to practice in a "virtual world."