from China Group of Antsan Alibaba affiliate, detailed technical details about its new mannequin, Ring-1Twhich the corporate stated is “the primary open supply reasoning mannequin with a trillion complete parameters.”
Ring-1T goals to compete with different reasoning fashions similar to GPT-5 and the O collection of OpenAIlike this GoogleGemini 2.5. With the brand new launch of the most recent mannequin, Ant expands the geopolitical debate about who will dominate the AI race: China or USA.
Ant Group stated the Ring-1T is optimized for mathematical and logical issues, code era and scientific drawback fixing.
“With roughly 50 billion token-enabled parameters, Ring-1T achieves state-of-the-art efficiency throughout a number of difficult benchmarks – regardless of relying solely on pure language reasoning capabilities,” Ant stated in a paper.
Ring-1T, which was first launched in September, adopts the identical structure as Ling 2.0 and is skilled on the fundamental Ling-1T mannequin that the corporate launched earlier this month. Ant stated this permits the mannequin to help as much as 128,000 tokens.
To coach a mannequin as massive as Ring-1T, researchers needed to develop new strategies for scaling reinforcement studying (RL).
New coaching strategies
Ant Group has developed three “interconnected improvements” to help RL and Ring-1T coaching, a problem given the dimensions of the mannequin and the usually massive computational necessities it entails. These three are IcePop, C3PO++ and ASystem.
IcePop removes noisy gradient updates to stabilize coaching with out slowing down inference. Helps get rid of catastrophic inference misalignment from RL coaching. The researchers famous that when coaching fashions, particularly these utilizing a mix of consultants (MoE) structure similar to Ring-1T, there can typically be a discrepancy in chance calculations.
“This drawback is especially pronounced when coaching MoE fashions with RL because of the inherent use of the dynamic routing mechanism. Moreover, in lengthy CoT configurations, these discrepancies can regularly accumulate over iterations and develop into additional amplified,” the researchers stated.
IcePop “suppresses unstable coaching updates by means of double-sided masks calibration.”
The following new methodology the researchers needed to develop is C3PO++, an improved model of the C3PO system that Ant beforehand established. The strategy manages how Ring-1T and different extra-large parameter fashions generate and course of coaching examples, or what they name implementations, in order that the GPUs will not be idle.
The best way it really works would divide the work throughout implementations into chunks to be processed in parallel. One group is the inference pool, which generates new information, and the opposite is the coaching pool, which collects outcomes to replace the mannequin. C3PO++ creates a token price range to regulate the quantity of knowledge processed, making certain GPUs are used effectively.
The final new methodology, ASystem, adopts a SingleController+SPMD (Single Program, A number of Knowledge) structure to allow asynchronous operations.
Benchmark outcomes
Ant focused the Ring-1T for benchmarks that measure efficiency in math, coding, logical reasoning and normal duties. They examined it on fashions like DeepSeek-V3.1-Terminus-Pondering, Qwen-35B-A22B-Pondering-2507, Gemini 2.5 Professional, and GPT-5 Pondering.
In benchmark assessments, Ring-1T carried out strongly, putting second behind OpenAI’s GPT-5 in most benchmarks. Ant stated the Ring-1T carried out one of the best amongst all open fashions examined.
The mannequin scored 93.4% on the AIME 25 leaderboard, second solely to GPT-5. In encoding, Ring-1T outperformed DeepSeek and Qwen.
“This means that our fastidiously synthesized dataset shapes Ring-1T’s sturdy efficiency in programming purposes, which varieties a strong basis for future endeavors in company purposes,” the corporate stated.
Ring-1T reveals how a lot Chinese language firms are investing in fashions
Ring-1T is simply the most recent mannequin from China aiming to dethrone GPT-5 and Gemini.
Chinese language firms have been releasing spectacular fashions at a fast tempo because the shock launch of DeepSeek in January. Ant’s father or mother firm, Alibabalately launched Qwen3-Omnia multimodal mannequin that natively unifies textual content, picture, audio and video. DeepSeek has additionally continued to enhance its fashions and earlier this month, launched DeepSeek-OCR. This new mannequin reimagines the best way fashions course of info.
With Ring-1T and Ant creating new strategies for coaching and scaling extra-large fashions, the battle for AI dominance between the US and China continues to warmth up.
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