# Ant Bailin Launches Native Hybrid Reasoning Model Ling-3.0-tiny

- Category: Flash (快讯)
- Published: 2026-08-07T11:52:00.000Z
- Source date: 2026-08-07
- HTML: https://www.88z.ai/en/news/flash-20260807-a2dbd06cca268251
- Markdown: https://www.88z.ai/en/news/flash-20260807-a2dbd06cca268251.md
- Other language: https://www.88z.ai/news/flash-20260807-a2dbd06cca268251.md

Ant Bailin has released Ling-3.0-tiny, a native hybrid reasoning model with 7.9B total parameters and 1.3B activated per token. Optimized for mathematical reasoning and edge deployment, it supports tool calling and fully local offline inference.

## At a glance

- The model has 7.9B total parameters with only 1.3B activated per token, optimized for math reasoning and edge deployment
- It natively supports tool calling for UI automation and enables fully local offline inference

## The update

Ant Bailin has officially launched Ling-3.0-tiny, a native hybrid reasoning model. With a total parameter count of 7.9B, it activates only 1.3B parameters per token during operation. This architectural design significantly reduces computational resource consumption while maintaining high performance. The model is deeply optimized for mathematical reasoning tasks and edge device deployment, aiming to enhance operational efficiency in resource-constrained environments. Furthermore, Ling-3.0-tiny natively supports tool calling, enabling it to directly drive browser user interfaces and automate operations on mobile devices, thereby expanding its interactive capabilities in practical application scenarios. Notably, the model supports fully local offline inference, allowing it to run independently on local devices without relying on cloud connections, which offers users greater data privacy protection and deployment flexibility.

## Sources

- [Ling-3.0-tiny](https://www.88z.ai/flash/cite/flash-20260807-a2dbd06cca268251) (2026-08-07)

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