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Home / Blog Articles / Ant Ling-1T: Trillion-Parameter AI Language Model Introduced

Ant Ling-1T: Trillion-Parameter AI Language Model Introduced

 Zehra Ülker
Author

Zehra Ülker

Last Update

24 October 2025

Category

Artificial Intelligence

746
3m

On October 9, 2025, Ant Group introduced a new AI language model called Ling-1T. This model stands out with its 1 trillion parameters, setting new standards in big data processing and complex reasoning. This step, which pushes the boundaries of AI research and applications, has sparked excitement in both academic and industrial fields.


What is Ant Ling-1T?

Ling-1T is a trillion-parameter language model developed by Ant Group. It demonstrates high performance particularly in logical reasoning, software development, and mathematical problem-solving. The model is built upon the Ling 2.0 architecture and uses 50 billion active parameters per token.


What Are the Features of Ling-1T?

In addition to having 1 trillion parameters, the model can process contexts up to 128,000 tokens long. Trained using the Evo-CoT method, it provides high accuracy in complex reasoning and software development tasks. Moreover, visual reasoning and front-end code generation capabilities are also included in the model.


Advantages of Trillion-Parameter AI Models

Trillion-parameter models can process large datasets more efficiently and solve more complex problems. Increasing the number of parameters enhances the model’s flexibility and accuracy. This allows researchers to obtain more reliable results in both theoretical and practical domains.


Ant Group’s Role and Contributions

With Ling-1T, Ant Group promotes open-source solutions in artificial intelligence. This approach enables developers to customize the model and integrate it into their own applications. The company aims to democratize AI and reach a broader user base.




How Does Ling-1T Perform?

This new model achieves around 70% accuracy in logical reasoning tests such as AIME 2025. This performance is considered top-tier compared to other leading models. Ling-1T demonstrates strong performance especially in code generation and mathematical problem-solving.


Test Results of the Ling-1T AI Model

Ling-1T achieves high accuracy rates in logical reasoning tests like AIME 2025. It delivers effective results particularly in multi-step problem-solving and mathematical tasks. This success is attributed to the diversity of its training data and its trillion-parameter capacity.


Comparison with Other Large Language Models

Compared to leading models such as DeepSeek-V3.1-Terminus and GPT-5-main, Ling-1T stands out in many benchmarks. The model outperforms competitors in complex reasoning and code generation tasks. This superiority is explained by both its architectural advantages and efficient training process.


Artificial Intelligence and Open-Source Development

Open-source AI models give developers the opportunity to understand how the model works and experiment with it. This approach supports the democratization of AI and expands the scope of innovative applications.


Importance of Ling-1T Being Open-Source

The open-source nature of Ling-1T allows researchers and developers to customize the model according to their needs. Thanks to community support, the model can be quickly optimized and new application scenarios can emerge. This increases the accessibility of AI and enables innovative solutions to be implemented faster.


Application Areas of Ling-1T

Ling-1T enables effective use of AI across various industries and accelerates complex data analyses. It offers accurate solutions in sectors such as fintech, healthcare, education, and e-commerce.


Software Development and Code Generation

Ling-1T improves efficiency in software development processes, particularly in automatic code generation and error detection. Developers can create faster prototypes and solve complex software problems thanks to the model. This feature saves time and cost, especially in large-scale projects.

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