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ArthurThomas
ArthurThomas
May 9, 2026

Ant Ling released its trillion-scale reasoning model Ring-2.6-1T, featuring a configurable Reasoning Effort mechanism. It offers two modes: 'high' for efficient Agent collaboration and 'xhigh' for complex tasks like math and logic. In benchmarks, it outperformed competitors on PinchBench, AIME26, and GPQA Diamond. The model is available for a trial on OpenRouter and will be open-sourced, shifting focus to reasoning efficiency over mere parameter scale.

Ant Ling released its trillion-scale reasoning model Ring-2.6-1T, featuring a configurable Reasoning Effort mechanism. It offers two modes: 'high' for efficient Agent collaboration and 'xhigh' for complex tasks like math and logic. In benchmarks, it outperformed competitors on PinchBench, AIME26, and GPQA Diamond. The model is available for a trial on OpenRouter and will be open-sourced, shifting focus to reasoning efficiency over mere parameter scale. Ant Ling released its trillion-scale reasoning model Ring-2.6-1T, featuring a configurable Reasoning Effort mechanism. It offers two modes: 'high' for efficient Agent collaboration and 'xhigh' for complex tasks like math and logic. In benchmarks, it outperformed competitors on PinchBench, AIME26, and GPQA Diamond. The model is available for a trial on OpenRouter and will be open-sourced, shifting focus to reasoning efficiency over mere parameter scale.
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