# Ant Group Open-Sources Native Multimodal Large Model Ling-3.0-flash-VL

- Category: Flash (快讯)
- Published: 2026-09-09T11:54:00.000Z
- Source date: 2026-09-09
- HTML: https://www.88z.ai/en/news/flash-20260909-307f2a33a229099a
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Ant Bailling releases its first native multimodal large model, Ling-3.0-flash-VL, with 124B total parameters and 5.5B activated per inference. It supports image, text, video, and 256K context, emphasizing low latency and cost.

## At a glance

- Ling-3.0-flash-VL has 124B total parameters with only 5.5B activated per inference and supports 256K context.
- Native joint training via visual feedback loops suits low-latency scenarios like web replication and GUI agents.

## The update

Ant Group's Bailling large model has officially open-sourced its first native multimodal large model, Ling-3.0-flash-VL. The model features a total of 124 billion parameters but activates only 5.5 billion during single-step inference, significantly reducing computational resource consumption. It possesses multimodal capabilities for processing images, text, and video, while supporting a context window of up to 256K tokens. By employing a visual feedback loop involving observation, action, verification, and correction, the model uses a native joint training strategy that is claimed to enhance pure text processing abilities. Its design prioritizes low latency and low-cost operation, making it suitable for various practical application scenarios such as web page replication, GUI agents, and medical report interpretation.

## Sources

- [百灵大模型](https://mp.weixin.qq.com/s/1MwD3tusIJiUNlR8awJOkw) (2026-09-09)

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