Large Model

OpenAI introduces a multimodal, all-inclusive AI model that supports text, audio and image input and output with fast response and advanced features, and is free and open to the public to provide a natural and smooth interactive experience.

The multimodal large model independently developed by CloudScience has the ability of real-time learning, synchronous feedback, cross-modal interaction, etc. It is widely used in many industries such as finance, security, government affairs, etc., to promote the popularization and development of AI applications.

An innovative big model that combines big language and symbolic reasoning, designed to enhance the credibility and accuracy of applications in finance, healthcare, and other fields.

Westlake HeartStar's self-developed universal big model, which integrates multimodal capabilities and possesses high IQ and EQ, has been widely used in many fields.

Rockchip has developed the first non-Transformer architecture generalized natural language model with high performance, low cost, multimodal processing capability and private deployment security.

Vivo's self-developed generalized big model matrix contains several self-developed big models covering core scenarios, providing intelligent assistance, dialog bots, and other functions with powerful language understanding and generation capabilities.

The mega-scale Mixture of Experts model introduced by AliCloud's Tongyi Thousand Questions team stands out in the AI field for its excellent performance and wide range of application scenarios.

OpenAI introduces small AI models with inference capabilities and cost-effective pricing, designed for developers and users to optimize application performance and efficiency.

Google introduced a new generation of AI models that support multimodal inputs and outputs and natively integrate intelligent tools to provide developers with powerful and flexible assistant functions.

Google released a high-performance AI model with strong coding performance and the ability to handle complex cues with a contextual window of 2 million tokens.

An AI model developed by Fei-Fei Li's team that achieves superior inference performance at a very low training cost.

Hangzhou Depth Seeker has launched an efficient open source language model with 67.1 billion parameters, using a hybrid expert architecture that excels at handling math, coding and multilingual tasks.

Developed by the DeepSeek team, it is an efficient visual language model based on a hybrid expert architecture with powerful multimodal understanding and processing capabilities.

Google DeepMind launches a 100 billion visual language dataset designed to enhance the cultural diversity and multilingualism of AI models.

NetEaseYouDao launched the first 14B lightweight model in China that supports step-by-step reasoning and explanation, designed for educational scenarios, which can help students efficiently understand complex math problems.

The third generation of artificial intelligence models developed by Musk's xAI company, with superior computational and reasoning capabilities, can be applied to a variety of fields such as 3D model generation and game production, which is an important innovation in the field of AI.

Alibaba's open source multimodal large language model with powerful visual understanding, OCR, video processing and reasoning capabilities, supporting multiple scale versions.

Anthropic has released the world's first hybrid reasoning model that demonstrates superior performance and flexibility by being able to flexibly switch between rapid response and deeper reflection based on different needs.

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

Alibaba released a high-performance inference model with 32 billion parameters that excels in mathematics and programming 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.

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.

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

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.

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.

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.

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

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.

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.

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.