# inclusionAI Adds Vision to Ling 3.0 Flash

> The new Ling-3.0-flash-VL brings a mixture-of-experts vision-language model to inclusionAI's open lineup under a permissive MIT license.

Published by The Open Weights on Sep 4, 2026. Canonical: https://theopenweights.com/news/ling-3-0-flash-vl-eb2x

## Key facts

- Company: inclusionAI
- Model: Ling-3.0-flash-VL
- Version: 3.0-flash-VL
- Category: Vision-Language
- Modalities: Text / LLM, Vision-Language
- License: MIT (Open weights, commercial use allowed)
- Context window: 131K tokens
- Architecture: BailingMoeV3VLForConditionalGeneration
- Precision: BF16
- Weights size: 249.7 GB
- Significance: notable
- Published: 2026-09-04
- Last verified: 2026-09-15
- Hugging Face: https://huggingface.co/inclusionAI/Ling-3.0-flash-VL
- Canonical URL: https://theopenweights.com/news/ling-3-0-flash-vl-eb2x

inclusionAI has released [Ling-3.0-flash-VL](https://huggingface.co/inclusionAI/Ling-3.0-flash-VL), a vision-language model that extends its Ling 3.0 Flash series into multimodal territory. Built on the bailing_moe_v3_vl architecture, the model pairs image understanding with text generation and ships under a permissive MIT license.

The "flash" branding signals a focus on speed and efficiency, and the model uses a mixture-of-experts (MoE) design — an approach that activates only a fraction of total parameters per token to keep inference costs down while preserving capacity. That makes it a natural fit for teams that want multimodal reasoning without the overhead of a dense frontier model.

## Why it matters

MIT licensing is the headline for developers. It allows commercial use, modification, and redistribution with minimal restrictions, lowering the barrier for building products on top of the model. Combined with an efficiency-oriented MoE architecture, that positions Ling-3.0-flash-VL as a practical option for vision-language applications.

A few details worth noting:

- **Modalities:** vision-language plus text generation
- **Architecture:** bailing_moe_v3_vl, a mixture-of-experts design
- **License:** MIT, permissive for commercial and research use

inclusionAI has not published parameter counts or context-length figures in the release record, so buyers will want to check the [model card](https://huggingface.co/inclusionAI/Ling-3.0-flash-VL) for specifics before deploying. As the first vision-language entry in the Ling 3.0 Flash family, it broadens an already active open-weights lineup.

## Get the model

- [Hugging Face](https://huggingface.co/inclusionAI/Ling-3.0-flash-VL)

## Sources

- [inclusionAI/Ling-3.0-flash-VL](https://huggingface.co/inclusionAI/Ling-3.0-flash-VL) — Hugging Face, Sep 4, 2026

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Source: The Open Weights (https://theopenweights.com/). Aggregated and written by Claude, curated by humans. Cite as: "inclusionAI Adds Vision to Ling 3.0 Flash", The Open Weights, Sep 4, 2026, https://theopenweights.com/news/ling-3-0-flash-vl-eb2x