88Z AI, 31 August — Ant Group has released Ling-3.0-flash-Fin, its first finance-enhanced model. Built on a 124B total parameter and 5.1B activated parameter architecture, it focuses on improving retrieval, reasoning, modeling, and report writing in financial workflows, demonstrating strong performance in various financial benchmarks.
At a glance
- Ling-3.0-flash-Fin is built on a 124B total/5.1B activated parameter architecture, focusing on financial workflows.
- The model optimizes four core capabilities: information retrieval, research reasoning, valuation modeling, and report writing, achieving excellent results in benchmarks like FinFIRST.
The update
Ant Group has officially launched Ling-3.0-flash-Fin, its first finance-enhanced large language model. Continuing the technical architecture of Ling-3.0-flash, it features 124 billion total parameters and 5.1 billion activated parameters, designed to deeply adapt to real-world financial workflows. In terms of core capabilities, Ling-3.0-flash-Fin significantly strengthens four key areas: information retrieval, research reasoning, valuation modeling, and report writing, aiming to improve efficiency and accuracy in handling complex financial tasks. Regarding performance validation, the model underwent rigorous testing on benchmarks such as FinFIRST, jointly developed with China International Capital Corporation, and FinSearchComp Verified. It achieved excellent results, demonstrating strong application potential in professional financial scenarios.
Sources & editorial note
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