Ant Group's Bailing team (inclusionAI) officially open-sourced the trillion-parameter thinking model Ring-2.6-1T on May 15, under the MIT license, simultaneously on Hugging Face and ModelScope. The model is based on a MoE architecture, with 1T total parameters and 63B active. The biggest differentiation is the introduction of an adjustable Reasoning Effort mechanism, providing two reasoning intensity tiers: high and xhigh — the high tier targets high-frequency Agent workflows, with low token overhead and faster multi-step execution; the xhigh tier is aimed at complex tasks like math proofs and scientific analysis, reserving more thorough reasoning space. On the evaluation side, xhigh takes 95.83 on AIME 26, 88.27 on GPQA Diamond, 77.78 on ARC-AGI-V2; high beats multiple closed-source flagships' xhigh tier on PinchBench with 87.60, Tau2-Bench Telecom hits 95.32, with overall performance on par with GPT-5, Claude Opus 4.7, and Gemini 3.1 Pro. Combined with the Async RL training stack and million-token context, on-demand deep thinking is turned from concept into engineering semantics that developers can invoke.