Ling-1T

Ling-1T is a flagship general-purpose model built on a Mixture-of-Experts architecture that utilizes 1/32 routing to manage its one trillion total parameters. By maintaining approximately 50 billion active parameters per token, the model is engineered to balance high-level cognitive performance with efficient inference. It is specifically designed to handle advanced reasoning workloads, making it a robust tool for software development, competition-level mathematics, and complex logical analysis. The architecture supports extensive context lengths, allowing it to process long-form documents and intricate codebases with precision.

The model underwent pre-training on over 20 trillion high-quality, reasoning-dense tokens, incorporating an evolutionary chain-of-thought process throughout its mid-training and post-training phases. This curriculum-based approach is intended to refine the model's reasoning depth and accuracy, enabling it to achieve state-of-the-art results on benchmarks such as the American Invitational Mathematics Examination. With its ability to generate production-ready code and provide step-by-step mathematical proofs, Ling-1T is positioned as a versatile asset for quantitative research, enterprise analytics, and the development of secure, intelligent agent ecosystems.