Ant Group’s open-source Ling-3.1-flash model: The 560-billion parameter model can be deployed on just 4 GPUs, supporting up to a 1 million-token context window.

Beating AI News Flash: Ant Group’s Ling large model has announced the open-source release of Ling-3.1-flash. Positioned as "truly usable", the model features upgraded capabilities for real-world tasks, enabling faster conversion of ambiguous business requirements into actionable results. The open-source model’s weights are available for download on Hugging Face and ModelScope. Ling-3.1-flash inherits the mixed linear architecture of Ling-3.0-flash, boasting approximately 560B total parameters, with around 25B parameters activated per token, and supporting up to a 1M-token context window. The model delivers high-quality performance across complex workflows including office work, healthcare, software engineering, and terminal operations. When handling scattered data, it can assist in organizing reports and presentation materials; for fragmented symptoms, it helps sort out medical histories and consultation issues; for legacy code, it can understand existing implementations, write new features, and revise them based on test outcomes. In the office task evaluation GDPVal-AA V2.1, Ling-3.1-flash scored 1673 ELO points. In the HealthBench Professional medical scenario benchmark, it achieved a score of 65.35. It also demonstrated strong proficiency in complex engineering tasks in the software engineering benchmark FrontierSWE and terminal operation benchmark Terminal-Bench 4.0.