Ant Group releases Ling-3.0-flash-Fin open-weight financial AI model

Ant Group has released Ling-3.0-flash-Fin, an open-weight AI model specifically engineered for financial research, valuation modeling, and reporting workflows. The model utilizes a Mixture-of-Experts (MoE) architecture featuring 124 billion total parameters, though it only activates 5.1 billion parameters per token to balance high knowledge capacity with efficient inference costs.

Designed to move beyond simple conversational tasks, the model focuses on four professional capabilities: authoritative information retrieval, research reasoning through verifiable evidence chains, valuation modeling via Excel automation, and structured report generation. It has demonstrated competitive performance across several financial benchmarks, including FinFIRST, FinSearchComp Verified, and SpreadsheetBench.