# New Model Available: Ling-3.0-flash-Fin

> Source: <https://zenmux.ai/inclusionai/ling-3.0-flash-fin>
> Published: 2026-09-21 07:27:10+00:00

Ling-3.0-flash-Fin is a finance-enhanced MoE model built on Ling-3.0-flash, with 124 billion total parameters and approximately 5.1 billion activated parameters. Designed for real-world investment workflows, it is optimized for complex multi-step tasks and long-horizon planning and execution. With a relatively small active parameter footprint, it delivers competitive financial performance while maintaining strong general capabilities in reasoning, coding, and mathematics.

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## Providers

Route requests across multiple providers. Copy a provider slug to set your preference.

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*Read:*

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*Write:*

**-**/ M tokens262.14K3.77s13.0tps

## Uptime

24hours
Direct request success rate on AI Gateway and per-provider.

## Throughput

24hours
P50 throughput on live AI Gateway traffic, in tokens per second (TPS).

## Latency

24hours
P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.

## Activity

Token volume and request traffic to this model over time.

## Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows

Metrics sourced from[Artificial Analysis](https://artificialanalysis.ai/)

## Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for. [View All](https://zenmux.ai/analytics/apps)

## Related Models

More models from [inclusionAI](https://zenmux.ai/inclusionai)