# Mistral Small 4 (119B)

> Multimodal Mistral Small refresh that jumps from the older dense 24B stack to an MLA-based sparse MoE design.

| Property | Value |
| --- | --- |
| Lab | Mistral AI (France) |
| Released | 2026-03-16 |
| Decoder type | Sparse MoE |
| Family | Sparse MoE |
| Scale | 119B total, 6.63B active (5.6% active) |
| Context window | 256,000 tokens |
| Attention | MLA |
| Layer mix | 36 MLA |
| KV cache / token (bf16) | 22.5 KiB (Very low) |
| License | Apache License 2.0 |

**Key detail:** Uses 128 experts with 4 routed plus 1 shared expert active per token while unifying instruct, reasoning, and vision.

## 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 v5.0: total 4.3 (Knowledge Work 0.2, Coding 0, Science 0, General 17)
- AA Intelligence Index v4.3.2: total 11.3 (General 21.1, Scientific 5.1, Coding 19.4, Agents 0.2)

## Links

- Architecture diagram: https://sebastianraschka.com/llm-architecture-gallery/images/architectures/mistral-small-4.webp
- config.json: https://huggingface.co/mistralai/Mistral-Small-4-119B-2603/blob/main/config.json
- Tech report: https://mistral.ai/news/mistral-small-4
- Source card (source of truth): https://sebastianraschka.com/llm-architecture-gallery/#card-mistral-small-4
- Web page: https://llm-atlas-7or.pages.dev/models/mistral-small-4/
- JSON: https://llm-atlas-7or.pages.dev/api/models/mistral-small-4.json

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