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Figure 1: INTELLECT-3 · diagram by Sebastian Raschka · click to zoom
Sparse MoEPrime Intellect 🇺🇸 · November 26, 2025

INTELLECT-3 (106B)

Large-scale RL post-training of GLM-4.5-Air that keeps the compact 106B sparse MoE backbone intact.

Key detail

Keeps the GLM-4.5-Air architecture unchanged and shifts the capability profile through SFT plus large-scale RL.

Total params

106B

Active / token

12B

Context

128K

Fact sheet

Scale
106B total, 12B active (11.3% active)
Context window
128,000 tokens
Decoder type
Sparse MoE
Attention
GQA
Layer mix
46 GQA
KV cache / token (bf16)
184 KiB · High
License
MIT License
Released

Efficiency

Parameters active per token

11%

12B of 106B weights run for each token.

KV cache per token (bf16)

184 KiB

Smaller than 28% of models in the atlas. How it’s calculated

AA Intelligence Index v4.3.2

Source

10.6

Scientific
6.7

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Similar architectures

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    Z.ai, released 2025-07-28. Sparse MoE decoder, 106B total, 12B active, 128K context. Attention: GQA.

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