Large Model

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.

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

The AI model, which is open-source under the MIT License, has advanced reasoning capabilities and supports model distillation. Its performance is benchmarked against OpenAI o1 official version and has performed well in multi task testing.

The cross-modal general artificial intelligence platform developed by the Institute of Automation of the Chinese Academy of Sciences has the world's first graphic, text and audio three-modal pre-training model with cross-modal comprehension and generation capabilities, supporting full-scene AI applications, which is a major breakthrough towards general artificial intelligence.

The big model system launched by Shangtang Technology, which integrates natural language processing, text-to-graph and other capabilities, aims to empower various industries through advanced AI technology and lead innovation and change in the wisdom era.

Valued at over $100 billion, it focuses on building high-performance multimodal large models and superb arithmetic infrastructure to promote general artificial intelligence (AGI) technology breakthroughs and cross-industry applications on the ground.

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 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.

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.

Microsoft's open-source retrieval-enhanced generative model based on knowledge graph and graph machine learning techniques is designed to improve the understanding and reasoning of large language models when working with private data.

An open source framework for building large-scale language modeling application designs, providing modular components and toolchains to support the entire application lifecycle from development to production.

Shanghai AI Lab leads the launch of a comprehensive big model research and development platform, providing an efficient tool chain and rich application scenarios to support multimodal data processing and analysis.

Launched by AliCloud, the ultra-large-scale pre-trained language model has powerful natural language processing and comprehension capabilities, and is able to simulate human thinking for tasks such as multi-round conversations and copywriting, and serves a number of industries and scenarios to provide users with intelligent solutions.

Baidu's industrial-grade knowledge-enhancing big models, with industry-leading natural language understanding and generation capabilities, are widely used in all kinds of natural language processing and generation tasks, helping enterprises realize intelligent upgrading.

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.

Based on industrial data and technology, Jingdong has developed an intelligent large model with extensive industry application capabilities, and is committed to providing efficient and intelligent solutions for enterprises.

Shangtang Technology has launched a comprehensive big model system with powerful natural language processing, text-born diagrams and other multimodal capabilities, aiming to provide efficient AI solutions for enterprises.

Kunlun World Wide's self-developed double-gigabyte large language model, with powerful text generation and comprehension capabilities and support for multimodal interaction, is an important innovation in the field of Chinese AI.

Developed by Tencent, the Big Language Model features powerful Chinese authoring capabilities, logical reasoning in complex contexts, and reliable task execution.

Huawei has developed an industry-leading, ultra-large-scale pre-trained model with powerful natural language processing, visual processing, and multimodal capabilities that can be widely used in multiple industry scenarios.

ByteDance launched a self-developed big model. Through byte jumping internal 50 + business scene practice verification, daily 100 billion tokens large use of continuous polishing, to provide multi-modal capabilities, with high quality model effect for the enterprise to create a rich business experience

360 company independently developed a comprehensive large model, integrated with multimodal technology, with powerful generation creation, logical reasoning and other capabilities, to provide enterprises with a full range of AI services.

Wanxing Technology has developed China's first audio and video multimedia creation pendant big model, which integrates video, audio, picture and language processing capabilities to provide powerful AI creation support for the digital creative field.

A large language model with 530 billion parameters, released by Mistral AI, with multilingual support and powerful reasoning, language understanding and generation capabilities to excel in complex multilingual reasoning tasks, including text comprehension, transformation and code generation.

An open source generative language model developed by Tsinghua University, designed for Chinese chat and dialog tasks, demonstrating powerful Chinese natural language processing capabilities.