# Mistral Small 3.1 (24B)

> Fast dense 24B model that drops the sliding-window setup used in older Mistral releases.

| Property | Value |
| --- | --- |
| Lab | Mistral AI (France) |
| Released | 2025-03-18 |
| Decoder type | Dense |
| Family | Dense |
| Scale | 24B parameters |
| Context window | 128,000 tokens |
| Attention | Standard GQA |
| Layer mix | 40 GQA |
| KV cache / token (bf16) | 160 KiB (Moderate) |
| License | Apache License 2.0 |

**Key detail:** Latency-focused design with a smaller KV cache and fewer layers than Gemma 3 27B.

## 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.
- [Sliding Window Attention (SWA)](https://llm-atlas-7or.pages.dev/concepts/swa.md): Some layers only attend to a local window of recent tokens instead of the whole context.

## Benchmark (Artificial Analysis Intelligence Index)

- AA Intelligence Index v4.3.2: total 7.1 (General 12.8, Scientific 2.2, Coding 13.9, Agents 0.2)

## Links

- Architecture diagram: https://sebastianraschka.com/llm-architecture-gallery/images/architectures/mistral-3-1-small-24b.webp
- View in article: https://magazine.sebastianraschka.com/p/the-big-llm-architecture-comparison#%C2%A74-mistral-small-31
- config.json: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Base-2503/blob/main/config.json
- Tech report: https://mistral.ai/news/mistral-small-3-1
- Source card (source of truth): https://sebastianraschka.com/llm-architecture-gallery/#card-mistral-small-3-1-24b
- Web page: https://llm-atlas-7or.pages.dev/models/mistral-small-3-1-24b/
- JSON: https://llm-atlas-7or.pages.dev/api/models/mistral-small-3-1-24b.json

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