Tasks and inputs
Ling 3.0 Flash Fin is listed for Text generation. It accepts text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
SyncDev model directory · Profile updated Oct 13, 2026
Ling 3.0 Flash Fin is a finance-focused reasoning checkpoint for document analysis, financial workflows and research drafting.
The specification score summarizes recorded features and limits. It is not a benchmark result.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
Ling 3.0 Flash Fin is a finance-focused reasoning checkpoint for document analysis, financial workflows and research drafting.
Flash Fin adapts the Ling 3.0 architecture to financial analysis and agent workflows. The publisher describes 124B total parameters, 5.1B active per token and a 256K context. It is intended to organize financial facts, calculations and written analysis into materials a reviewer can inspect.
Supply the relevant filings or reports and define the requested output, such as a variance explanation or a table of extracted figures. Ask the assistant to preserve the source and unit for every number. Reconcile totals against the supplied documents before using the analysis in a decision.
A useful test includes a revised filing, figures shown in different currencies and a question whose answer is not available. Check whether the model distinguishes missing information from a zero value and whether it notices changes in reporting scope. For calculations, verify the formula and underlying inputs independently.
The weights are MIT-licensed. A self-hosted deployment requires a compatible hybrid-attention runtime and sufficient memory for the full checkpoint and long-context caches. The model does not automatically have access to live market data or your financial systems; those sources must be supplied by the application. Hosted prices and access policies depend on the selected service, so this checkpoint profile leaves token rates unknown.
Compare the model on the work you need to complete.
Ling 3.0 Flash Fin is listed for Text generation. It accepts text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
Documented limits: 262.14K context. Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.
The weights are downloadable under MIT. Check runtime support and size the complete model and working context for your expected concurrency.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
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