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

> Source: <https://zenmux.ai/inclusionai/ling-3.0-flash-sante>
> Published: 2026-09-21 07:27:12+00:00

Ling-3.0-Flash-Sante is a Mixture-of-Experts (MoE) model with enhanced capabilities across health and medicine. Built on Ling-3.0-Flash, it has 124 billion total parameters and activates approximately 5.1 billion parameters per token. The model excels in medical knowledge reasoning, clinical safety, evidence-based retrieval, and long-horizon medical tasks, while retaining strong general capabilities in reasoning, coding, and agentic tasks.

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## Providers

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

~~$0.06~~

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*/ M tokens*

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*Read:*

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*Write:*

**-**/ M tokens262.14K--

## 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)