# Mistral > Mistral AI efficient open models. Use for efficient AI. Use when this capability is needed. - Skill: `tomevault-io/mistral` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/mistral` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/mistral/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/mistral --- # Mistral Mistral AI focuses on **efficiency** and **coding** capabilities. Their "Mixture of Experts" (MoE) architecture (Mixtral) changed the game. ## When to Use - **Coding**: Mistral Large 2 (Codestral) is specifically optimized for code generation. - **Efficiency**: Mixtral 8x7B offers GPT-3.5+ performance at a fraction of the inference cost. - **Open Weights**: Apache 2.0 licenses (for smaller models). ## Core Concepts ### MoE (Mixture of Experts) Only a subset of parameters (experts) are active per token. High quality, low compute. ### Codestral A model trained specifically on 80+ programming languages. ### Le Chat Mistral's chat interface (`chat.mistral.ai`). ## Best Practices (2025) **Do**: - **Use `codestral-mamba`**: For infinite context window coding tasks (linear time complexity). - **Deploy via vLLM**: Mistral models run exceptionally well on vLLM. **Don't**: - **Don't ignore small models**: Mistral NeMo (12B) is surprisingly capable for RAG. ## References - [Mistral AI Documentation](https://docs.mistral.ai/) --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/g1joshi) — claim your Tome and manage your conversions.