# INTELLECT-3 (106B)

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

| Property | Value |
| --- | --- |
| Lab | Prime Intellect (United States) |
| Released | 2025-11-26 |
| Decoder type | Sparse MoE |
| Family | Sparse MoE |
| Scale | 106B total, 12B active (11.3% active) |
| Context window | 128,000 tokens |
| Attention | GQA |
| Layer mix | 46 GQA |
| KV cache / token (bf16) | 184 KiB (High) |
| License | MIT License |

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

## Architecture concepts

- [Grouped-Query Attention (GQA)](https://llm-atlas-7or.pages.dev/concepts/gqa.md): Several query heads share one key/value head, shrinking the KV cache with little quality loss.
- [Mixture of Experts (MoE)](https://llm-atlas-7or.pages.dev/concepts/moe.md): Many feed-forward experts, but a router sends each token to only a few of them.

## Benchmark (Artificial Analysis Intelligence Index)

- AA Intelligence Index v4.3.2: total 10.6 (Scientific 6.7)

## Links

- Architecture diagram: https://sebastianraschka.com/llm-architecture-gallery/images/architectures/intellect-3.webp
- config.json: https://huggingface.co/PrimeIntellect/INTELLECT-3/blob/main/config.json
- Tech report: https://storage.googleapis.com/intellect-3-paper/INTELLECT_3_Technical_Report.pdf
- Source card (source of truth): https://sebastianraschka.com/llm-architecture-gallery/#card-intellect-3
- Web page: https://llm-atlas-7or.pages.dev/models/intellect-3/
- JSON: https://llm-atlas-7or.pages.dev/api/models/intellect-3.json

_Data from Sebastian Raschka's LLM Architecture Gallery (https://sebastianraschka.com/llm-architecture-gallery/). Synced 2026-11-04._