Ant Group (inclusionAI / AntLing)

Overview

Ant Group publishes open-weight models through inclusionAI, its open-source organisation, under the AntLing / Ant Ling name. This page was created on 2026-09-26 on the capture of Ming-Image-0.1-Design, and its contents are limited to what that release and its coverage stated (source).

Ant Group's founding, ownership, headcount, compute and its wider model lines were not established on the run that created this page. No first-party document was read: huggingface.co answers connect_rejected under standing policy and github.com was not reached this run.

The three names need keeping straight, because coverage uses them interchangeably and they are not the same thing: Ant Group is the company, inclusionAI is the GitHub and Hugging Face organisation the weights are published under, and AntLing / Ant Ling is the name on the announcement. The model strings say inclusionAI.

Like Runway, created the same run, this entity is not in sources.yaml — so a Chinese lab shipping MIT-licensed weights is outside both the official_blogs list and the five-lab Chinese rotation (DeepSeek, Alibaba Qwen, Moonshot/Kimi, Z.ai, MiniMax). It reached this wiki through an r/LocalLLaMA prefetch candidate. sources.yaml is manual by this repo's automation boundary; raised for the user in the brief rather than edited here.

Key People

unknown — no named individual appeared in any source read on the run that created this page.

Models & Products

• Ming-Image-0.1-Design — Ming-Image-0.1-Design, 6B, MIT, text-to-image for text-rich visual design, with a companion Ming-Image-0.1-Design-Layer (6B) that decomposes a flattened design into editable transparent layers.

• Ling UI Design Skill and Image-to-Editable-PPT Skill — two open-source Agent Skills shipped alongside the models. No page: recorded here per the one-off-mention rule, and nothing read states which agent runtime they target.

• Ling-3.0-tiny — Ling-3.0-tiny, 7.9B total / ~1.3B active hybrid reasoning MoE, MIT, released 2026-08-06 and captured here 2026-09-27 at day +52.

• There is a Ling model line, and the evidence was already in this repository. The bullet this replaces said "nothing read establishes whether there is a Ling model line" on 2026-09-26. It was resolved the next day not by a new source but by reading the Creator column of a leaderboard snapshot this pipeline has been committing weekly since 2026-07-30. Five sibling models appear in the 2026-09-27 capture with no page of their own — a leaderboard row gives a name, a context window and an index score, and no release date, licence or announcement, which is not enough for a model page under this wiki's schema (source):

  Model	Context Window	Artificial Analysis Intelligence Index
  Ling 3.0 Flash	262k	25 *
  Ling-3.0-flash-VL	262k	25
  Ling-3.0-flash-Fin	262k	23
  Ring-2.6-1T	262k	17
  Ring-flash-2.0	128k	7 *
  The asterisks are the publisher's. Ling and Ring are two lines, not one,
  and nothing read states what distinguishes them.

Recent Activity

• 2026-08-06: Ant Group released a 7.9B MoE under MIT seven weeks ago, and it was sitting in this repository's own weekly leaderboard captures the whole time. Ling-3.0-tiny — Ling-3.0-tiny, a hybrid reasoning Mixture-of-Experts with 7.9B total parameters and ~1.3B activated per token, MIT licensed, weights in BF16, FP8, INT4 and GGUF, built for local and resource-constrained agent deployment and stated as validated on NVIDIA DGX Spark, Apple Silicon MacBooks and Mac mini. Two passes give a hybrid linear-attention stack alternating KDA with MLA — one expanding KDA as Kimi Delta Attention, a mechanism named after Moonshot AI's line in a model from a different lab — and one pass states the stack was "previously validated only in frontier-scale models" and is carried here down to ~1.3B active parameters. A sparse 128-expert MoE is single-pass and not adopted. Why it matters: the 2026-09-26 entry below found that this lab appears nowhere in sources.yaml, so nothing polled it. That is true and it is not the whole failure. Ling 3.0 Tiny appears in every Artificial Analysis snapshot in sources/evals/ from 2026-08-09 onward — 13 consecutive captures — and the InclusionAI creator string is in the earliest snapshot this repo holds, 2026-07-30. The snapshot intake reads those files to check figures for models the wiki already names, and nothing reads the Creator column for labs it does not; a 269-row leaderboard captured weekly is a list of who is shipping, and this pipeline has been using it as a lookup table. Not established: no first-party document read — ant-ling.medium.com and huggingface.co both answer EGRESS_BLOCKED; no training-data statement; no named benchmark score, only the domains evaluated; and three figures conflict with this repo's own captured leaderboard (Intelligence Index 15 * captured against 25 in a summary, 262k against 260k, 31 Median Tokens/s against a claimed 160+) → Open-Weights Policy Fight (source) (source)

• 2026-09-22: Ant Group open-sourced two 6B design models under MIT, and the leaderboard headline is narrower than it reads. inclusionAI released the Ming-Image-0.1-Design family — Ming-Image-0.1-Design (6B, text-to-image for UI, infographics, posters and other text-rich design, with RGBA transparent-background output) and Ming-Image-0.1-Design-Layer (6B, decomposing a flattened design image into independently editable transparent layers), plus two open-source Agent Skills. Licence: MIT (2 passes). Ant Ling's headline is "#1 among open-weight models on Artificial Analysis"; the pass that names the slice gives #1 open-weights on the Artificial Analysis UI/UX Design slice at 1,084 Elo on 2,100 votes as of 2026-09-24, 17th of 81 overall in that category, and 45th at 995 Elo on the arena's full board — Artificial Analysis runs one blind pairwise arena and filters the same vote pool into use-case slices. Why it matters: MIT is the most permissive licence this wiki has recorded on a Chinese image model, six days after Qwen-Image-2.1 became the first Qwen release here under non-commercial terms. Not established: no first-party document read; no architecture, base model or training-data statement; no safety, provenance or watermarking statement, against a model built to render legible text inside images; and the release date is disputed — 2026-09-17 for the weights, 2026-09-22 for the announcement and model card → Open-Weights Policy Fight (source) (X)

Strategic Position

Two releases now, and the shape they share is narrowness. Ming-Image-0.1-Design is a specialist image model shipped with the two agent skills that consume its output; Ling-3.0-tiny is a 1.3B-active model built to run on a laptop. Neither is a general-purpose frontier line, and both are MIT — the most permissive licence this wiki holds on any Chinese release, in either modality (source).

The five sibling leaderboard rows complicate that reading rather than confirming it: Ling 3.0 Flash, Ling-3.0-flash-VL, Ling-3.0-flash-Fin, Ring-2.6-1T and Ring-flash-2.0 span a vision model, a finance-tuned model and a 1T-parameter model (source). A lab with a 1T model is not a specialist, and this wiki holds no release note, licence or benchmark for any of the five. What can be said is that the two artefacts captured first-hand are both narrow and both permissive; what the lab's positioning is remains unestablished, and the gap is now measurable rather than blank.

What is established about this pipeline instead: two releases from this lab, four days and fifty-two days late, both found through r/LocalLLaMA. See the brief's 🆕 section — sources.yaml is manual.

Conflicting Reports

• Two of the five sibling leaderboard rows read differently in the two Artificial Analysis snapshots this page cites, and the movement is large enough to be worth stating rather than resolving. The table in ## Models & Products carries the 2026-09-27 capture. The 2026-07-30 capture — the earliest this repo holds, cited above for the InclusionAI string's first appearance — gives different figures for the two models present in both (source) (source):

  Model	Artificial Analysis Intelligence Index, 2026-07-30	Same, 2026-09-27	Reasoning (derived) then → now
  Ring-2.6-1T	31	17	yes → no
  Ring-flash-2.0	8 *	7 *	yes → no
  Neither figure is wrong and the page does not pick one. These are the same
  publisher's table read eight weeks apart, and **nothing read states why either
  number moved.** Two readings are available and this page adopts neither: the
  models were re-measured, or the index itself was revised — Artificial Analysis
  versions its Intelligence Index, and a search pass on
  Ling-3.0-tiny cites "v4.1.1" without this repo's snapshots naming a
  version in either capture.

  The Reasoning (derived) flip is the stronger hint and it is this repo's own column, not the publisher's. Per the snapshot header, aa-fetch.py derives it from a lightbulb icon whose tooltip reads "Reasoning model"; the 2026-07-30 capture marks both models yes and the 2026-09-27 capture marks every one of its 269 rows no, stating "0 rows are marked". So the flip is almost certainly a change in what the scraper could see on the page, not a change in the models — which means it is not evidence about the index revision either, and is recorded here so no later run reads it as such.

Related

• Open-Weights Policy Fight — the licence is the substance of this entry
• Alibaba / Qwen AI Lab — the comparator six days earlier, and the opposite move
• Moonshot AI — KDA, the attention mechanism two passes name in Ling-3.0-tiny, carries that lab's name