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ant Group’s Ring-1T: A New Open-Source Reasoning Model Challenges AI Leaders
Table of Contents
Overview
China’s Ant Group,an affiliate of Alibaba,has detailed technical details around its new model,Ring-1T, which the company said is “the first open-source reasoning model with one trillion total parameters.”
Ring-1T aims to compete with other reasoning models like GPT-5 and the o-series from OpenAI as well as Google‘s gemini 2.5. with the new release of the latest model, Ant extends the geopolitical debate over who will dominate the AI race: China or the US.
Ant Group said Ring-1T is optimized for mathematical and logical problems,code generation and scientific problem-solving.
“With approximately 50 billion activated parameters per token, Ring-1T achieves state-of-the-art performance across multiple challenging benchmarks – despite relying solely on natural language reasoning capabilities,” Ant said in a paper.
Ring-1T, which was first released on preview in September, adopts the same architecture as Ling 2.0 and trained on the Ling-1T-base model the company released earlier this month. Ant said this allows the model to support up to 128,000 tokens.
New Methods of Training
To train a model as large as Ring-1T, researchers had to develop new methods to scale reinforcement learning (RL).
ant Group developed three “interconnected innovations” to support the RL and training of Ring-1T, a challenge given the model’s size and the typically large compute requirements it entails. These three are IcePop, C3PO++ and ASystem.
IcePop removes noisy gradient updates to stabilize training without slowing inference. It helps eliminate catastrophic training-inference misalignment in RL. The researchers noted that when training
