Large Model

Developed by Hangzhou Depth Seeker, a large open source AI project integrating natural language processing and code generation capabilities, supporting efficient information search and answering services.

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

The large-scale language model with powerful semantic understanding and knowledge reasoning capabilities introduced by KU Xunfei is widely used in many fields such as enterprise services, intelligent hardware, and smart government.

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.

The series of large models jointly developed by Tsinghua University and Smart Spectrum AI have powerful multimodal understanding and generation capabilities, and are widely used in natural language processing, code generation and other scenarios.

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 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.

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.

Alibaba launched an efficient video generation model that can accurately simulate complex scenes and actions, support Chinese and English special effects, and lead a new era of AI video creation.

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

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

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.

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.

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.

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

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.

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

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 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.

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

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

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.

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.

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.

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.

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.

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.

(Moonshot AI) launched a large-scale AI general model with hundreds of millions of parameters, capable of processing inputs of up to 200,000 Chinese characters, and widely used in natural language processing, intelligent recommendation, medical diagnosis and other fields, demonstrating excellent generalization ability and accuracy.

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.