Another powerful player has joined the ranks of large AI models — Ling-1T!
Following the trillion-parameter giants Kimi K2 and Qwen3-Max, Ant Group has launched Ling-1T — a trillion-parameter AI model.
Built upon the Ling 2.0 framework, it expands to 1T parameters, with each token activating around 51B parameters.By combining “mid-training + post-training” with an evolutionary chain-of-thought mechanism, Ling-1T greatly enhances reasoning efficiency.At the same time, Ling-1T is the first flagship non-reflective (pure reasoning) model in the Ling 2.0 series, aiming to push the boundaries of reasoning efficiency and scalable cognition.
Currently, Ling-1T is also available on the DepolyAI official website.
You can visit it directly through the link below to experience Ling-1T in action.
DepolyAI Entrance:
https://www.deployai365.com/
If I were to summarize it in one sentence — it’s an intelligent model with exceptionally strong reasoning and outstanding efficiency.Let’s break it down into a few key parts:
1) Exceptional Mathematical and Programming Reasoning Skills
Ling-1T demonstrates outstanding performance in both reasoning and code generation.In the AIME 25 competition — think of it as the “Math Olympiad” for AI — it achieved 70.42% accuracy using fewer computation tokens, surpassing Google’s Gemini-2.5-Pro.In programming benchmarks, Ling-1T ranked first on LiveCodeBench, significantly ahead of DeepSeek, and scored 94.69 on CodeForces, outperforming GPT-5.
In short — it’s not only accurate in reasoning but also capable of writing highly compatible, well-structured code across web, mobile, and desktop platforms.
2) Strong Comprehension and Cross-Domain Reasoning Ability
Ling-1T also excels in comprehensive reasoning and knowledge understanding.In cross-disciplinary benchmarks like Omni-Math and UGMathBench, it scored above 74 points, while achieving 87.45 in Finance Reasoning.Moreover, in leading knowledge evaluation datasets such as C-Eval, MMLU-Pro, and OlympiadBench, Ling-1T outperforms DeepSeek, Kimi, and GPT-5 by 1–3 percentage points, with some results nearly matching Gemini-2.5-Pro’s upper limits.
It’s not just about logic — Ling-1T can transfer reasoning skills across domains and analyze complex problems effectively.
3) High-Efficiency, Low-Cost Reasoning Architecture
Here lies Ling-1T’s technical brilliance.It uses a “large parameter reserve + small parameter activation” mechanism.Think of it as having a gigantic brain (trillions of parameters), but only “activating” a small portion — around 10 billion — when solving a problem.Just like humans don’t use all brain cells at once, this makes it both smart and energy-efficient.
In practice, Ling-1T achieves response times under 200 milliseconds, with energy consumption at only 38% of similar closed-source models — a major cost saver for enterprises.
4) Superior Long-Context Understanding
Ling-1T supports a 128K context window, allowing it to read and comprehend book-length content in one go without losing track.This makes it extremely valuable for tasks involving legal documents, financial reports, and scientific papers.If you’re interested in Ling-1T, visit DepolyAI to try it out.On DepolyAI, you can not only access the latest large models but also explore ComfyUI cloud services for generating AI-powered images, videos, and audio — all without VPNs, accessible from both computer and mobile.
DepolyAI Portal (Large Models)
