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Ling-1T

Ling-1T
Launch Date: Oct. 10, 2025
Pricing: No Info
AI, machine learning, software development, visual reasoning, Ling 2.0

Ling-1T is a cutting-edge AI model designed to push the boundaries of efficient reasoning and scalable cognition. It is part of the Ling 2.0 series and boasts an impressive 1 trillion total parameters, with approximately 50 billion active parameters per token. This model is built to handle complex reasoning tasks with high accuracy and efficiency, making it a powerful tool for various applications.

Benefits

Ling-1T offers several key advantages that set it apart from other AI models:

  • Superior Reasoning Ability: Ling-1T excels in complex reasoning tasks, outperforming leading flagship models in areas such as code generation, software development, and logical reasoning.
  • Efficient Thinking: The model's evolutionary chain-of-thought (Evo-CoT) process enhances its reasoning depth and efficiency, allowing it to achieve state-of-the-art performance on multiple benchmarks.
  • Aesthetic Understanding: Ling-1T combines deep semantic understanding with precise code synthesis, making it proficient in visual reasoning and front-end code generation.
  • Emergent Intelligence: Scaling to the trillion-parameter level has revealed strong emergent reasoning and transfer capabilities, enabling the model to interpret complex instructions and generate functional visual components.

Use Cases

Ling-1T's advanced capabilities make it suitable for a wide range of applications, including:

  • Code Generation: The model can generate correct and functional code, making it a valuable tool for software developers.
  • Visual Reasoning: Ling-1T's ability to understand and generate visual components makes it useful in fields such as graphic design and user interface development.
  • Complex Problem Solving: The model's superior reasoning ability allows it to tackle complex problems in various domains, from mathematics to professional applications.
  • Multi-Lingual Text Generation: Ling-1T can create stylistically controlled marketing copy and multi-lingual text, making it a versatile tool for content creation.

Vibes

Ling-1T has received positive feedback for its performance and capabilities. Users have praised its ability to handle complex reasoning tasks with high accuracy and efficiency. The model's aesthetic understanding and front-end generation capabilities have also been highlighted as significant strengths.

Additional Information

Ling-1T is the largest FP8-trained foundation model known to date. It has been extensively evaluated across various benchmarks and currently stands as the best open-source flagship non-thinking model. The model's development was guided by the Ling Scaling Law, ensuring architectural and hyperparameter scalability even under massive compute.

The Ling 2.0 architecture, on which Ling-1T is built, includes several key innovations such as MTP layers for enhanced compositional reasoning and QK Normalization for fully stable convergence. The model's pre-training used over 20 trillion high-quality tokens, with a significant portion being reasoning-dense data. This extensive training has contributed to Ling-1T's exceptional performance and capabilities.

Ling-1T is available for download and can be experienced online through various platforms. The model's developers are committed to advancing general, collaborative human-AI intelligence and aim to continue evolving the Ling 1T series toward more general intelligence in future versions.

NOTE:

This content is either user submitted or generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral), based on automated research and analysis of public data sources from search engines like DuckDuckGo, Google Search, and SearXNG, and directly from the tool's own website and with minimal to no human editing/review. THEJO AI is not affiliated with or endorsed by the AI tools or services mentioned. This is provided for informational and reference purposes only, is not an endorsement or official advice, and may contain inaccuracies or biases. Please verify details with original sources.

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