# Kimi K2.6 (1T)

> Native-multimodal K2.5 successor that keeps the same 1T sparse MoE backbone while targeting stronger long-horizon coding, design, and agent orchestration.

| Property | Value |
| --- | --- |
| Lab | Moonshot AI (China) |
| Released | 2026-04-20 |
| Decoder type | Sparse MoE |
| Family | Sparse MoE |
| Scale | 1T total, 32B active (3.2% active) |
| Context window | 256,000 tokens |
| Attention | MLA |
| Layer mix | 61 MLA |
| KV cache / token (bf16) | 68.6 KiB (Low) |
| License | Modified MIT License |

**Key detail:** Uses the same text architecture as Kimi K2.5, with the main change coming from the multimodal and agentic training recipe.

## Architecture concepts

- [Multi-Head Latent Attention (MLA)](https://llm-atlas-7or.pages.dev/concepts/mla.md): Keys and values are compressed into a small latent vector that is cached instead of full K/V.
- [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 27 (General 38.6, Scientific 22.7, Coding 26, Agents 19.1)

## Links

- Architecture diagram: https://sebastianraschka.com/llm-architecture-gallery/images/architectures/kimi-k2-6.webp
- config.json: https://huggingface.co/moonshotai/Kimi-K2.6/blob/main/config.json
- License: https://huggingface.co/moonshotai/Kimi-K2.6/blob/main/LICENSE
- Tech report: https://www.kimi.com/blog/kimi-k2-6.html
- Source card (source of truth): https://sebastianraschka.com/llm-architecture-gallery/#card-kimi-k2-6
- Web page: https://llm-atlas-7or.pages.dev/models/kimi-k2-6/
- JSON: https://llm-atlas-7or.pages.dev/api/models/kimi-k2-6.json

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