Ant Ling announced the open release of Ling-3.0-flash-Fin, a finance-enhanced model for real-world workflows, and FinFIRST, an expert-built benchmark for financial search agents. The model comes from Ant Group’s AGI initiative. It is meant to handle checked numbers, compared trends, traced risks, and details across hundreds of pages. One user testing it on tracked funds, ETFs, and stocks said the model expanded reasoning steps on complex materials, clarified position classifications, and separated historical judgments from later information. The benchmark evaluates what agents locate, verify, and overlook.
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The releases target verifiable tasks in financial workflows and agent evaluation.
Ant Ling announced the open release of Ling-3.0-flash-Fin, a finance-enhanced model for real-world workflows, and FinFIRST, an expert-built benchmark for financial search agents. The model comes from Ant Group’s AGI initiative. It is meant to handle checked numbers, compared trends, traced risks, and details across hundreds of pages. One user testing it on tracked funds, ETFs, and stocks said the model expanded reasoning steps on complex materials, clarified position classifications, and separated historical judgments from later information. The benchmark evaluates what agents locate, verify, and overlook.
Many accounts welcomed the open-sourcing of Ling-3.0-flash-Fin and Ling-3.0-flash-VL because the releases deliver accessible, verifiable finance AI with visible reasoning and practical workflow gains.
Based on 64 sentiment-bearing replies from 60 accounts across 4 conversations.
Many accounts welcomed the open-sourcing of Ling-3.0-flash-Fin and Ling-3.0-flash-VL because the releases deliver accessible, verifiable finance AI with visible reasoning and practical workflow gains.
Based on 64 sentiment-bearing replies from 60 accounts across 4 conversations.

