inclusionAI: Ling-1T下线

Ling-1T is a trillion-parameter sparse mixture-of-experts (MoE) model developed by inclusionAI, optimized for efficient and scalable reasoning. Featuring approximately 50 billion active parameters per token, it is pre-trained on over 20 trillion reasoning-dense tokens, supports a 128K context length, and utilizes an Evolutionary Chain-of-Thought (Evo-CoT) process to enhance its reasoning depth. The model achieves state-of-the-art performance across complex benchmarks, demonstrating strong capabilities in code generation, software development, and advanced mathematics. In addition to its core reasoning skills, Ling-1T possesses specialized abilities in front-end code generation—combining semantic understanding with visual aesthetics—and exhibits emergent agentic capabilities, such as proficient tool use with minimal instruction tuning. Its primary use cases span software engineering, professional mathematics, complex logical reasoning, and agent-based workflows that demand a balance of high performance and efficiency.