Is Ling-3.1-flash-base state of the art?Pending benchmarks.Announced Oct 27, 2026; no independent results yet.
The base checkpoint of Ant Ling's Ling-3.1-flash: the pre-trained model before post-training, released as open weights under MIT for continued pre-training, domain adaptation and post-training research. A hybrid linear-attention mixture-of-experts model with 560B total and 25B active parameters. Not a chat model.
The details so far
- Lab
- Ant Ling (InclusionAI, Ant Group)
- Announced
- Oct 27, 2026
- API
- Not yet · None
- Open weights
- Published · Hugging Face inclusionAI/Ling-3.1-flash-base (BF16, 109 shards); announced Oct 27, 2026
- Parameters
- 560B total / 25B active
- Type
- Base checkpoint (no post-training); BF16 weights after Warmup-Stable and Merge (WSM) checkpoint merging; trained in FP8
- Architecture
- Hybrid-linear MoE: 63 KDA + 9 Gated MLA layers (7:1), 4 dense layers, 512 routed experts with 8 routed + 1 shared active per token
- Vocabulary
- 157,184 tokens
- Relation
- Base of Ling-3.1-flash and Ling-3.1-flash-1019 (tracked separately; their scores are not shared)
- License
- MIT
Tags marked unsure are not stated on the lab's own pages.
What would let us call it
Verdicts use only independent boards we already track. Two consecutive snapshots are required before any crown.
- Publicly announced with a source
- Usable by the public (API or weights)
- Listed on an independent board we track
- Enough results for a rank in a category
- Holds across two snapshots (crowns only)
What the lab claims
Self-reported. Shown for context; not used in any verdict.
Lab claim: evaluated on 47 benchmarks across eight domains against DeepSeek-V4-Pro-Base and MiMo-V2.5-Pro-Base, e.g. MMLU-Pro 76.71 (5-shot) vs 75.28 and 71.26.
Sources
LABAnt Ling on X: Ling-3.1-flash-1019 open source, plus Ling-3.1-flash-basex.com/AntLingAGI/status/2115062200687878157 · Oct 27, 2026REPOinclusionAI/Ling-3.1-flash-base on Hugging Facehuggingface.co/inclusionAI/Ling-3.1-flash-base · Oct 27, 2026Compare when it lands
Unscored: the post-trained model, Ling-3.1-flash. A scored comparison appears once both are on a shared board.
Tracking continues until an independent board lists it.