AntLingAGI正式开源其万亿参数旗舰模型Ling-2.6-1T。该模型采用总参数1万亿、激活参数630亿的架构，核心设计理念是“令牌高效”，旨在以极低的令牌开销实现顶尖智能。它通过“快速思考”机制优化，具备可靠的多步骤执行能力，在指令遵循、工具使用和上下文控制方面表现优异。模型为实际生产需求优化，部署便捷，兼容广泛的智能体框架，适用于从代码生成到错误修复等多种任务。
蚂蚁把万亿参数模型开源了，但强调的不是大，而是省 token，这对成本敏感的生产环境是真正的性价比之选，做 agent 的可以上手测测。
Last week, we introduced Ling-2.6-1T. Today, Ling-2.6-1T is officially an open model~ 🤗
1T total parameters · 63B active parameters
We bring values to developers by making it easier to test, deploy, customize, and build.
It is optimized to be "token efficiency" for real production needs:
• Lower token overhead: strong intelligence without long reasoning traces
• Reliable multi-step execution: better instruction, tool, context, and workflow control
• Production-ready deployment: from code generation to bug fixing, with broad agent framework compatibility
A sneak pick into the agentic capability in @opencode
🚀 Today, we are launching Ling-2.6-1T, a trillion-parameter flagship model designed for precise instruct task execution. By prioritizing a "Fast-Thinking" mechanism, it delivers SOTA intelligence with ultra-low token overhead, making token efficiency a first-class citizen.在 X 查看被引用的帖子
来源：Ant Ling · x.com