灵码2.6-flash模型现已开源，这是一个专为现实世界智能体工作流构建的快速、高效的指令模型。该模型总参数量达1040亿，激活参数量为74亿，并提供BF16、FP8和INT4多种量化版本以适应不同部署需求。其核心优势包括：生成速度高达每秒215个token，在完整评估中仅消耗1500万token，效率突出；在代码、文档处理和轻量级智能体工作流等实际任务中表现强劲；同时，其中英文切换能力及与主流编程框架的兼容性也得到了进一步改善。
Ling-2.6-flash is now officially open-sourced!
A fast, token-efficient Instruct model built for real-world agent workflows.
104B total parameters · 7.4B active parameters
Available in BF16, FP8, and INT4 variants for different deployment needs.
Key strengths:
- Fast generation: 215 tokens/s on Artificial Analysis Output Speed
- High token efficiency: only 15M tokens on the full AA Intelligence Index evaluation
- Real task execution: strong performance across coding, document processing, and lightweight agent workflows
- Improved experience: better Chinese-English switching and smoother compatibility with mainstream coding frameworks
来源：Ant Ling · x.com