# Is Ling-3.1-flash-base SOTA?

Pending benchmarks. Announced Oct 27, 2026; no independent results yet.

As of Nov 3, 2026, Ling-3.1-flash-base is pending benchmarks on isitsota: announced Oct 27, 2026, with no independent results on the boards we track 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.

Canonical: https://isitsota.com/m/ling-3-1-flash-base
Last updated: 2026-10-27
Tracking since: 2026-10-27

## Announced facts

| Fact | Value |
| --- | --- |
| 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.

- [x] Publicly announced with a source
- [x] 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

- LAB: [Ant Ling on X: Ling-3.1-flash-1019 open source, plus Ling-3.1-flash-base](https://x.com/AntLingAGI/status/2115062200687878157) (2026-10-27)
- REPO: [inclusionAI/Ling-3.1-flash-base on Hugging Face](https://huggingface.co/inclusionAI/Ling-3.1-flash-base) (2026-10-27)

Tracking continues until an independent board lists it.

## Related

- Lab: [Ant Ling (InclusionAI, Ant Group)](https://isitsota.com/labs/inclusionai.md)
- Compare when it lands (unscored): [the post-trained model, Ling-3.1-flash](https://isitsota.com/m/ling-3-1-flash.md)
- All pending releases: https://isitsota.com/releases.md
- JSON: https://api.isitsota.com/v1/models/ling-3-1-flash-base