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# Ant Ling opens its vision model under MIT: 124B parameters, 5.5B active per token
- URL: https://globalfeed.ai/en/ant-ling-opens-its-vision-model-under-mit-124b-parameters-5-5b-active-per-token/
- Published: 2026-09-08T20:17:42.000Z
- Updated: 2026-09-08T20:17:42.000Z
- Description: Ling-3.0-flash-VL is out as open source. The mixture-of-experts architecture holds 124 billion parameters but activates only 5.5 billion per token, with a context window up to 1 million tokens. It also claims to act on what it sees on screen.
- Author: GlobalFeed Editor
- Tags: Ling-3.0-flash-VL, Ant Ling, inclusionAI, vision language model, open source model, x-AntLingAGI, dil-en, elle, video, x-gitti

**Ant Ling**, the AI team at Ant Group, has open-sourced its vision-language model **Ling-3.0-flash-VL** under the **MIT licence**. It is Ling-3.0-flash, released in July, with sight added.

## The numbers

The architecture is mixture-of-experts: **124 billion parameters** in total, of which only **5.5 billion** activate per token. The context window reaches **1 million tokens**. The backbone is a 42-layer hybrid that alternates KDA and Gated MLA layers at a 5:1 ratio. On the vision side a ViT encoder extracts features from images and video, a two-layer MLP projector aligns them with text, and VideoRoPE encodes both spatial position and temporal order. Published formats are BF16 and F32; the announcement said FP8 shipped too, with FP4 and INT4 to follow.

Sparse activation is the point here. A 124B model that runs 5.5B per token costs far less to serve than a dense model of the same size. For an open-source release, that is what closes the gap between downloading a model and actually running it.

## Three jobs

The model card groups the capability under three headings. **Understand**: counting objects, parsing layouts, reading charts and documents. **Reason**: calculating from visual evidence, multi-step inference, verification. **Act**: understanding interfaces and completing tasks, meaning it looks at web and software screens and sequences actions.

The third is the interesting one. Recognising what is on a screen and deciding what to do on that screen are separate jobs; the second is agent work, and it is still thin on the open-source side.

## The benchmark

The only comparative figure on the card is **42** on the Artificial Analysis Intelligence Index v4.1.1, four points above the 38 scored by the sightless Ling-3.0-flash. There is no line-by-line competitor table, so where this model stands cannot be stated until independent measurements arrive.

Ant Ling's models were also in the news with the health-focused Ling 3.0 Flash Sante, which [we covered on 6 September](https://globalfeed.ai/en/health-focused-ling-3-0-flash-sante-is-free-on-vercel-ai-gateway-until-4-october/); the team keeps branching specialised models off the same trunk.

Source: [inclusionAI/Ling-3.0-flash-VL model card](https://huggingface.co/inclusionAI/Ling-3.0-flash-VL?ref=globalfeed.ai).