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Figure 1: Ling 2.6 1T · diagram by Sebastian Raschka · click to zoom
Sparse hybridInclusionAI 🇨🇳 · April 23, 2026

Ling 2.6 (1T)

Ling 2.5 successor that keeps the Lightning Attention and MLA hybrid stack while adding an MTP layer for multi-token prediction.

Key detail

Keeps the 7:1 linear-attention/MLA ratio and adds one multi-token-prediction layer for speculative decoding.

Total params

1T

Active / token

63B

Context

256K

Fact sheet

Scale
1T total, 63B active (6.3% active)
Context window
262,144 tokens
Decoder type
Sparse hybrid
Attention
Lightning Attention plus MLA
Layer mix
10 MLA + 70 Lightning Attention + 1 MTP layer
KV cache / token (bf16)
11.2 KiB · Very low
License
MIT License
Released

Efficiency

Parameters active per token

6.3%

63B of 1T weights run for each token.

KV cache per token (bf16)

11.2 KiB

Smaller than 88% of models in the atlas. How it’s calculated

AA Intelligence Index v4.3.2

Source

17

Scientific
4.5

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