[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-c024cc24-c861-4bba-9194-23d2c456c484":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":23,"created_at":24,"modified_at":25,"is_published":26,"publish_type":27,"image_url":13,"view_count":28},"c024cc24-c861-4bba-9194-23d2c456c484","蚂蚁百灵开源万亿思考模型 Ring-2.6-1T：把思考深度做成可调旋钮","蚂蚁集团百灵团队（inclusionAI）5月15日正式开源万亿级思考模型 Ring-2.6-1T，采用 MIT 协议同步登陆 Hugging Face 和 ModelScope。该模型基于 MoE 架构，总参数量 1T、激活 63B。最大差异化是引入可调节的 Reasoning Effort 机制，提供 high 与 xhigh 两档推理强度：high 档针对高频 Agent 工作流，token 开销低、多步执行更快；xhigh 档面向数学证明、科研分析等复杂任务，预留更充分的推理空间。评测方面，xhigh 在 AIME 26 取得 95.83、GPQA Diamond 88.27、ARC-AGI-V2 77.78；high 在 PinchBench 上以 87.60 超过多个闭源旗舰的 xhigh 档，Tau2-Bench Telecom 跑出 95.32，综合表现与 GPT-5、Claude Opus 4.7、Gemini 3.1 Pro 同梯队。配合 Async RL 训练栈与百万 token 上下文，把按需深度思考从概念做成可被开发者调用的工程语义。","https:\u002F\u002Fhuggingface.co\u002FinclusionAI\u002FRing-2.6-1T","24d5c6c5-6573-4180-a1fd-f1459842d1af",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"471c51be-e620-49df-bd6c-0b5504f53f00","ant-group",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"01598627-1ea6-4b27-a5d8-874971571a71","llm",{"id":18,"name":19,"slug":19,"description":13,"color":13},"7e89b5cc-57db-4f37-bc6d-28919a73931c","model-release",{"id":21,"name":22,"slug":22,"description":13,"color":13},"b9bd9039-fcdb-41a8-b85b-fc1587def2b9","open-source","2026-05-15T02:00:00Z","2026-06-07T01:16:19.784495Z","2026-06-07T01:16:19.784505Z",true,"agent",4]