Large Model

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.

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 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.

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.

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.

The next-generation multimodal big model introduced by OpenAI has stronger language understanding, generation and cross-modal interaction capabilities, and is widely applicable to content creation, intelligent assistants and enterprise 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.

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

Anthropic introduces a new generation of AI models with powerful coding, inference and autonomous task execution capabilities for enterprise applications and intelligent agent development.

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

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.

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

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.

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.

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.

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.

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.

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.

Tencent's self-developed deep thinking models with fast response, ultra-long text processing and strong reasoning capabilities have been widely used in intelligent Q&A, document processing and other fields.

Cohere released a lightweight AI model with powerful features such as efficient processing, long context support, multi-language and enterprise-grade security, designed for small and medium-sized businesses to achieve superior performance with low-cost hardware.

High-performance inference models from OpenAI with enhanced multimodal inference capabilities, structured outputs, and function call support, designed to handle complex professional problems with high pricing but high performance.

Anthropic's top-of-the-line AI models for hardcore developers tackle ultra-complex tasks with powerful code processing and a 200k context window.

Baidu launched an advanced large language model with deep thinking, multi-modal support and multi-tool invocation capabilities to meet the needs of multiple domains with excellent performance, affordable price and rich functionality.

Baidu's self-developed native multimodal basic big model, with excellent multimodal understanding, text generation and logical reasoning capabilities, using a number of advanced technologies, the cost is only 1% of GPT4.5, and plans to be fully open source.

The Tsinghua University team and Qingcheng Jizhi jointly launched an open source large model inference engine, aiming to realize efficient model inference across chip architectures through underlying technological innovations and promote the widespread application of AI technology.

Byte Jump launched a native bilingual image generation model with excellent comprehension and rendering capabilities for a wide range of creative design scenarios.

Google launched a new generation of open source AI models with multi-modal, multi-language support and high efficiency and portability, capable of running on a single GPU/TPU for a wide range of application scenarios.

Alibaba's open-source multimodal large language model uses RLVR technology to achieve emotion recognition and provide an interpretable reasoning process for multiple scenarios.

Alibaba released a high-performance inference model with 32 billion parameters that excels in mathematics and programming for a wide range of application scenarios.

OpenAI's large-scale language model, officially launched on February 28, 2025, is an upgraded version of GPT-4.