Awesome Mistral

A curated list of awesome resources, tools, libraries, and projects for the Mistral AI ecosystem.

An independent community directory of Mistral AI models, developer tools, research and product updates. Mistral publishes both open-weight models and proprietary services; each model has its own license and availability conditions.

Curated for AI engineers, researchers and developers. Inclusion does not imply endorsement by Mistral AI or compatibility with every Mistral model.

Last editorial review: 2026-10-06. Reviewed weekly; see the audit and sources, maintenance process, and security policy. Star counts are rounded down snapshots from that review, not quality scores.

Legend:

• 🧠 Official Mistral AI
• 🌍 Community project
• 🧪 Experimental

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Contents

• Latest Updates
• Why Mistral?
• Official Mistral Resources
• Model Families
• Community Fine-Tuned Models
• SDKs & APIs
• Inference & Deployment
• Fine-Tuning & Training
• Model Merging & Quantization
• Agents & Orchestration
• Tooling & Dev Experience
• Community Projects
• Demos & Examples
• Tutorials & Guides
• Benchmarks & Evaluation
• Research & Papers
• Talks & Media
• Ecosystem & Community
• Contributing
• License

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Latest Updates

Dates below are publication or availability dates, not the date this list was edited. Older announcements remain in the topic sections. Review Mistral News, the API changelog, and product release notes for the complete history.

• 2026-10-06 · Vibe 2.26.0 – Vibe now always runs on the Unified Harness and exits with an error instead of silently falling back to the legacy engine when its runtime is missing. The ~/.vibe/.env API-key fallback is now created owner-only (0600); keys saved there by earlier versions may still be readable by other local accounts. The Rust CLI (selected with VIBE_CLI) gains first-run onboarding, /teleport to Vibe Code Web, /voice and /loop, and now sends client usage telemetry; enable_telemetry = false in config.toml turns telemetry off.
• 2026-09-29 · Model deprecations and GLM 5.3 GA – OCR 4.0 (mistral-ocr-4-0) and Leanstral 1.5 (labs-leanstral-1-5) were deprecated with retirement on 2026-09-30; OCR 4.1 (mistral-ocr-4-1 or mistral-ocr-latest) replaces OCR 4.0 at the same price. The third-party Z.ai GLM 5.3 (zai-glm-5-3) is now generally available, and GLM 5.2 (zai-glm-5-2) is deprecated with retirement on 2026-10-31.
• 2026-09-28 · Mistral opens a Munich hub – German hub for physics and industrial AI, built around more than 30 physicists, researchers and engineers from the acquired Emmi AI. Mistral names work with BMW on crash simulation, with Siemens Energy on industrial applications, and a Technical University of Munich research partnership on automotive aerodynamics.
• 2026-09-28 · Python SDK 3.0.0 – Major release: the SDK moves from httpx to httpx2 (custom clients must be HTTPX2 clients) and the agents extra to MCP 2.2. chat and agents completions no longer accept the web_search, web_search_premium and code_interpreter tools, which remain available through the Conversations and Agents APIs. Follow the migration guide before upgrading.
• 2026-09-26 · Mistral CLI 0.7.0 – Adds mistral apps deploy/publish/unpublish/dev, an evals command group for the offline-evaluation lifecycle, mistral context for organization/workspace selection, login --api-key, and a daily GitHub-based update check.
• 2026-09-22 · Vibe merges Chat and Work – Questions and tasks now start from one Vibe experience instead of separate tabs. The same release notes add spreadsheet (Excel/CSV) support in Vibe Work, Mini App Canvas for interactive apps and dashboards, and an Agentic Knowledge Base.
• 2026-09-20 · CVE-2026-93993 – High-severity Mistral Vibe remote code execution: worktree creation ran a cloned repository's git hooks (e.g. post-checkout) before trust validation, letting a malicious repository run shell commands as the user. Fixed in Vibe 2.25.5 ("Worktree operations skip repository hooks", 2026-09-18); no Mistral MAI advisory number covers this CVE as of this review, so it is cited via the GitHub Advisory Database. Upgrade to 2.25.5 or later.
• 2026-09-18 · Vibe 2.25.5 – The Unified Harness is no longer labelled experimental (--legacy-harness restores the Python harness); adds skill toggles, explicit-only skills and /loop in the VS Code extension. Later patches through 2.25.8 (2026-09-23) are fixes and Rust CLI improvements.
• 2026-09-16 · Mistral × Mozilla – Firefox Smart Window (beta) now uses Mistral models. Mozilla's announcement names Mistral Small 4 for the US and Canada and adds French-language beta access in France; Mistral expects the UK and Germany to follow later this year and states that partners commit to zero data retention.
• 2026-09-16 · Mistral CLI 0.6.0 – Adds prerequisite-driven capability activation and mistral apps capability list outside an app, caches registry descriptors, and reports failed scaffolding steps as failures.
• 2026-09-15 · Python SDK 2.10.1 – Adds managed-index operations. Despite the patch version, it removes JudgeDefinition.model and prompt, replaces pipeline-config definition with definitions, and adds required response fields; read the breaking-change notes before upgrading.
• 2026-09-15 · Z.ai GLM 5.3 in the catalog – Second third-party model hosted unmodified by Mistral (zai-glm-5-3, public preview, 1M context, $1.4/M input and $4.4/M output tokens); the new zai-glm-5 and zai-glm-latest aliases point to it. Not a Mistral model.
• 2026-09-14 · MAI-2026-003 – High-severity advisory for Vibe shell permission vulnerabilities CVE-2026-87983 through CVE-2026-87988. CVE-2026-87983 was fixed in 2.19.1 and the others in 2.25.4; upgrade to 2.25.4 or later and restart active sessions.
• 2026-09-12 · Vibe 2.25.4 – Shell permission security fixes later documented in MAI-2026-003, plus fixes for connector loading and workspace roots.
• 2026-09-11 · Mistral CLI 0.5.0 – Adds trace/span/log retrieval and headless device login, strengthens OIDC validation, and requires existing Apps to migrate to descriptor v3 before capability changes.
• 2026-09-10 · Mistral × Cloudera – Announced integration for inference across hybrid cloud, on-premises and air-gapped environments, alongside custom model training on enterprise data. The announcement describes planned integration, not general availability.
• 2026-09-09 · Python SDK 2.10.0 / TypeScript SDK 2.7.0 – Breaking connector and observability changes, service-account APIs, and a fix for nullable transcription timestamps; inspect the migration details before upgrading.
• 2026-09-09 · Legacy code modernization – Mistral's case study covers a 40,000-line Fortran-to-C++ migration within a 300,000-line system, using numerical parity checks, Vibe/OCR-assisted documentation and human review.
• 2026-09-08 · Mistral raises €3B – Series D at a post-money valuation above €21B, led by Samsung Electronics with Scaleup Europe Fund (EQT) and PSG Equity; Mistral describes it as the largest equity round by a European technology company and earmarks it for frontier research, compute and international expansion.
• 2026-08-31 · OCR 4.1 reaches general availability – mistral-ocr-4-1, first released July 16, is now GA. mistral-ocr-latest and mistral-ocr-4 point to this version.
• 2026-08-24 · Mistral × HUMAIN – Announced collaboration on infrastructure, model localization and AI deployment in Saudi Arabia and the region; planned focus areas include Arabic, cybersecurity and voice.
• 2026-08-20 · API key expiration policies – Public preview of organization/workspace validity limits and expiration notifications for new or rotated keys; existing keys are unaffected.
• 2026-08-20 · Agentic Search – Retrieval tools for navigating and reading documents across sources, available through Search Toolkit, Studio and Vibe.
• 2026-08-11 · Regional inference and European infrastructure – Regional endpoints, Priority Tier preview, third-party model hosting and European compute commitments. The catalog now serves its first third-party model, Z.ai GLM 5.2 (zai-glm-5-2, public preview, 1M context), hosted unmodified by Mistral and not a Mistral model.
• 2026-08-04 · Shieldstral – Open-weight safety classifier accepting policies expressed in natural language.

Upcoming: the API changelog schedules the third-party zai-glm-5-2 retirement for 2026-10-31; zai-glm-5-3 replaces it. Downloadable weights and hosted API availability are separate; recheck the official schedule before migrating.

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Why Mistral?

Capabilities and deployment options vary by model and hosting provider:

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Official Mistral Resources

• 🧠 AI Studio (la Plateforme) – Developer console featuring Workflows for production orchestration, Connectors (MCP), API keys, and model access.
• 🧠 Mistral AI – Official company website with product information and announcements.
• 🧠 Mistral AI Documentation – Comprehensive API documentation, guides, and model specifications.
• 🧠 Mistral AI GitHub – Official GitHub organization and public repositories.
• 🧠 Mistral Compute (AI Cloud) – GPU infrastructure for training and inference; consult the product page for deployment options and access.
• 🧠 Mistral Cookbook – Official notebooks and examples for common use cases.
• 🧠 Mistral Forge – Enterprise platform for training frontier-grade models on proprietary data.
• 🧠 Mistral Vibe – Native CLI coding assistant featuring cloud-async Remote Agents and sandbox PR generation. Use 2.25.5 or later: fixes both MAI-2026-003 (2.25.4) and a worktree git-hook RCE, CVE-2026-93993 (2.25.5).
• 🧠 mistral-common – Official tokenization and pre-processing library.
• 🧠 mistral-finetune – ⚠️ Archived, no longer maintained – use Axolotl, Unsloth, or Hugging Face TRL instead.
• 🧠 mistral-inference ⭐ 10k+ – ⚠️ Archived, no longer maintained – use vLLM, mistral.rs, or the Mistral API instead.
• 🧠 Model Lifecycle Policy – Official Labs → Preview → GA → Deprecated → Retired policy; individual model cards carry retirement dates.
• 🧠 Platform Docs Public – Open-source documentation repository.
• 🧠 Vibe – Mistral's unified agent (formerly le Chat) across web, mobile, CLI, and VS Code; chat and Work tasks share one experience since September 2026, alongside Vibe Code.

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Model Families

Flagship Models (API)

Snapshot checked on 2026-10-06 against the model catalog and pricing. License refers to downloadable weights where available; API usage has separate service terms. Context is the advertised window, not a hardware requirement.

Open-Weight Models

Entries marked (legacy) are older models retained for self-hosting and reproducibility. Dates below are published API retirement dates from the official model catalog; some model pages still say Deprecated after that date. Downloadable weights do not establish live API availability.

General Purpose & Reasoning

• 🧠 Magistral Small 1.2 – Open 24B multimodal reasoning model (Apache 2.0, 128k context, [THINK] tokens). (legacy – published API retirement 2026-07-31; reasoning now lives in Small 4 / Medium 3.5)
• 🧠 Mistral Large 3 – Flagship MoE (675B / 41B active) with reasoning and vision.
• 🧠 Mistral Medium 3.5 – Dense flagship model (128B) unifying instruction-following, reasoning, and coding with 256k context and configurable reasoning_effort.
• 🧠 Mistral Small 3.2 – High-performance dense 24B model (v3.2). (legacy – published API retirement 2026-07-31, superseded by Small 4)
• 🧠 Mistral Small 4 – Hybrid MoE (119B / 6.5B active) unifying reasoning, coding, and multimodal. Configurable reasoning_effort.
• 🧠 Mixtral 8x22B – MoE model (141B total / 39B active). (legacy – API retired 2025-03-30)

Edge & On-Device (Ministral)

• 🧠 Ministral 14B – Dense edge model with vision (14B).
• 🧠 Ministral 3B – Ultralight model for mobile/browser (3B).
• 🧠 Ministral 8B – High-performance edge model with vision (8B).

Coding & Agentic (Devstral)

• 🧠 Devstral 2 – 123B coding model (Modified MIT License). Mistral reports 72.2% on SWE-bench Verified. (legacy – published API retirement 2026-07-31, superseded by Medium 3.5)
• 🧠 Devstral Small 2 – 24B coding model (Apache 2.0) for local agents. Mistral reports 68.0% on SWE-bench Verified. (legacy – published API retirement 2026-03-31)

Multimodal (Pixtral)

• 🧠 Pixtral 12B – Efficient vision-language model. (legacy – published API retirement 2025-12-31, superseded by Ministral 3 14B)
• 🧠 Pixtral Large – 124B multimodal model building on Mistral Large 2. (legacy – published API retirement 2026-05-31; vision now native in Medium 3.5 / Large 3)

Audio & Speech (Voxtral)

• 🧠 Voxtral Mini 3B – Compact speech understanding model (Apache 2.0). (legacy – published API retirement 2026-05-31, superseded by Voxtral Mini Transcribe 2, voxtral-mini-2602, API only)
• 🧠 Voxtral Mini 4B Realtime – Natively streaming speech-to-text, sub-500ms latency, 13 languages (Apache 2.0).
• 🧠 Voxtral Small 24B – High-accuracy speech understanding and transcription (Apache 2.0).
• 🧠 Voxtral TTS – 4B text-to-speech model, 9 languages, 24 kHz output (CC BY-NC 4.0).

Specialized Models

• 🧠 Codestral 25.08 – Proprietary API model for fill-in-the-middle code completion (codestral-2508, 128k context); no downloadable weights listed for this version.
• 🧠 Codestral Embed – API embedding model for code retrieval (codestral-embed).
• 🧠 Leanstral 1.5 – Lean 4 formal proof agent (119B / 6.5B active, Apache 2.0). Mistral reports 587/672 solved PutnamBench problems. (legacy – published API retirement 2026-09-30 for labs-leanstral-1-5; no hosted successor named)
• 🧠 Mistral Embed – API embedding model for text retrieval (mistral-embed).
• 🧠 Mistral Moderation 2 – Content moderation with 128k context and jailbreaking, dangerous, and criminal detection (API mistral-moderation-2603, free).
• 🧠 Mistral OCR 4.1 – Document intelligence with bounding boxes, block classification, and page/block/word-level confidence scores across 170 languages (API mistral-ocr-4-1; mistral-ocr-latest and mistral-ocr-4 alias to it; $4/1k pages, $2 with Batch API).
• 🧠 Shieldstral – Policy-adaptive multimodal safety classifier (3.8B total, Apache 2.0): accepts plain-language moderation policies at inference time, no retraining required.

Robotics (Robostral)

• 🧠 Robostral Navigate – Embodied navigation model (8B) using a single RGB camera for wheeled, legged, and flying robots; Mistral reports 76.6% success on unseen R2R-CE environments (proprietary, enterprise access).

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Community Fine-Tuned Models

Historical community fine-tunes of earlier Mistral models, retained for reproducibility and comparison. These fixed releases are not current-model recommendations; check their model cards, licenses and hardware requirements.

Instruction & Chat

• 🌍 Dolphin-2.8-Mistral-7B – Uncensored model by Eric Hartford.
• 🌍 Hermes-2-Pro-Mistral-7B – Function calling and JSON mode specialist.
• 🌍 Nous-Hermes-2-Mistral-7B-DPO – DPO-enhanced with strong benchmark scores.
• 🌍 OpenChat-3.5-0106 – Mistral-based model trained with C-RLFT.
• 🌍 OpenHermes-2.5-Mistral-7B – Instruction-tuned Mistral 7B model by Teknium.
• 🌍 Zephyr-7B-beta – Mistral 7B fine-tune trained with DPO by Hugging Face H4.

Specialized

• 🌍 Mistral-7B-OpenOrca – Trained on OpenOrca dataset.
• 🌍 MistralLite – AWS-optimized with 32k context window.
• 🌍 WizardMath-7B-V1.1 – Math-specialized Mistral fine-tune.

Quantized Model Collections

• 🌍 bartowski – High-quality GGUF quantizations.
• 🌍 TheBloke – Extensive GGUF/AWQ/GPTQ quantized model repository.

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SDKs & APIs

Official SDKs

Checked releases: Python v3.0.0 (2026-09-28) and TypeScript v2.7.0 (2026-09-09). Python 2.10.0 and TypeScript 2.7.0 remove legacy observability operations and change connector request types; TypeScript connector creation now requires an explicit protocol. Python 2.10.1 adds further breaking changes to judge and pipeline-config models. Python 3.0.0 switches to httpx2 and removes built-in tools from chat and agents completions; follow its migration guide. Review the breaking-change notes before upgrading.

Security: MAI-2026-002 documents compromised SDK releases from May 2026, including Python mistralai 2.4.6 and npm @mistralai/mistralai 2.2.2–2.2.4. Consult the advisory for the full affected-package list and remediation; these releases are not recommended.

• 🧠 client-python – Official Python client library.
• 🧠 client-ts – Official TypeScript/JavaScript client library.

Community SDKs

• 🌍 @ai-sdk/mistral – Vercel AI SDK provider.
• 🌍 @langchain/mistralai – LangChain.js integration.
• 🌍 mistral.rs ⭐ 7k+ – Rust inference with ISQ, LoRA, quantization.

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Inference & Deployment

High-Performance Inference

• 🌍 ExLlamaV2 – ⚠️ Archived, no longer maintained – the upstream README points to ExLlamaV3 for continued development.
• 🌍 ExLlamaV3 – Successor to ExLlamaV2: EXL3 quantization (QTIP-based), tensor/expert-parallel inference, continuous batching and speculative decoding for consumer GPUs.
• 🌍 llama.cpp ⭐ 130k+ – CPU/GPU inference with GGUF quantization.
• 🌍 SGLang ⭐ 36k+ – Fast serving with RadixAttention.
• 🌍 Text Generation Inference ⭐ 10k+ – ⚠️ Archived, no longer maintained – use vLLM or SGLang instead.
• 🌍 vLLM ⭐ 93k+ – High-throughput with PagedAttention. Excellent Mistral support.

Local Inference

• 🌍 GPT4All – Local inference with Mistral support.
• 🌍 Jan – Open-source ChatGPT alternative running locally.
• 🌍 LM Studio – Desktop GUI for local LLMs.
• 🌍 Msty – Desktop app for running local LLMs.
• 🌍 Ollama ⭐ 182k+ – Simple CLI for local Mistral models.
• 🧪 voxtral.c – Experimental C inference for Voxtral Mini 4B Realtime. Activity watch: last upstream push 2026-02-15; verify compatibility before use.

Cloud & Container Deployment

• 🌍 LocalAI ⭐ 49k+ – OpenAI-compatible local API server.
• 🌍 MLC LLM ⭐ 23k+ – Universal deployment (iOS/Android); check supported model architectures before deployment.
• 🌍 SkyPilot ⭐ 10k+ – Run on any cloud with cost optimization.
• 🌍 TensorRT-LLM ⭐ 14k+ – NVIDIA's optimized inference engine for Mistral Large 3 and other Mistral models on NVIDIA GPUs.

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Fine-Tuning & Training

Fine-Tuning Frameworks

• 🌍 Axolotl ⭐ 12k+ – Streamlined LoRA/QLoRA/full fine-tuning.
• 🌍 Hugging Face PEFT ⭐ 21k+ – Parameter-Efficient Fine-Tuning.
• 🌍 Hugging Face TRL ⭐ 19k+ – RLHF and DPO training.
• 🌍 LLaMA-Factory ⭐ 75k+ – Unified fine-tuning framework.
• 🌍 torchtune ⭐ 5k+ – ⚠️ No longer maintained – development wound down in 2025; use Axolotl or Unsloth instead.
• 🌍 Unsloth ⭐ 77k+ – Fine-tuning and local inference tools; performance depends on the model and hardware.

Training Infrastructure

• 🌍 DeepSpeed ⭐ 43k+ – Distributed training optimization.
• 🌍 Hugging Face Accelerate ⭐ 9k+ – Simple distributed training.

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Model Merging & Quantization

Model Merging

• 🌍 LazyMergeKit – Colab notebook for easy merging.
• 🌍 MergeKit ⭐ 7k+ – Toolkit for merging LLMs (SLERP, TIES, DARE).

Quantization Tools

• 🌍 AutoAWQ – ⚠️ Archived, no longer maintained – use bitsandbytes or llama.cpp GGUF instead.
• 🌍 AutoGPTQ ⭐ 5k+ – ⚠️ Archived, no longer maintained – use bitsandbytes or llama.cpp GGUF instead.
• 🌍 bitsandbytes ⭐ 8k+ – 4-bit and 8-bit quantization.
• 🌍 GGUF ⭐ 15k+ – Quantization format specification.

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Agents & Orchestration

Agent Frameworks

• 🌍 Aeon – Autonomous agent framework that runs unattended on GitHub Actions and drives Mistral Vibe as one of six coding-agent harnesses behind a single contract, with quality scoring, persistent memory, and a self-healing loop.
• 🌍 AutoGen ⭐ 61k+ – Microsoft's multi-agent framework.
• 🌍 CrewAI ⭐ 59k+ – Multi-agent orchestration.
• 🌍 Haystack ⭐ 26k+ – End-to-end NLP framework.
• 🌍 LangChain ⭐ 147k+ – LLM app framework with native Mistral support.
• 🌍 LlamaIndex ⭐ 52k+ – Data framework for RAG with Mistral.
• 🌍 LobeHub ⭐ 83k+ – Agent operations platform (formerly Lobe Chat) that hires, schedules, and reports on a fleet of AI agents.
• 🌍 PydanticAI ⭐ 20k+ – Type-safe AI agent framework.
• 🌍 RocketRide ⭐ 17k+ – C++ AI pipeline engine with dedicated Mistral text/vision nodes, Python/TypeScript SDKs, and a visual IDE.
• 🌍 Semantic Kernel ⭐ 28k+ – Microsoft's AI orchestration SDK.

Function Calling & Structured Output

• 🌍 Instructor ⭐ 13k+ – Structured outputs with Pydantic.
• 🌍 Marvin ⭐ 6k+ – AI functions with type hints.
• 🧠 Mistral Function Calling – Native function calling docs.
• 🌍 Outlines ⭐ 15k+ – Guaranteed structured generation.

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Tooling & Dev Experience

IDE Extensions & Code Assistants

• 🌍 Aider ⭐ 49k+ – AI pair programming in terminal.
• 🌍 Continue ⭐ 36k+ – Open-source AI code assistant (VSCode/JetBrains).
• 🌍 Tabby ⭐ 33k+ – Self-hosted GitHub Copilot alternative.
• 🧠 Vibe for Code – Mistral Vibe's coding agent for the terminal and IDEs (VS Code, JetBrains, Zed); the former Mistral Code product page now redirects here.

Development Tools

• 🌍 Langfuse ⭐ 35k+ – Open-source LLM observability.
• 🌍 LiteLLM ⭐ 60k+ – Unified API for 100+ LLMs.
• 🧠 Mistral CLI – Official standalone command-line releases for macOS and Linux, with installation documentation and SHA-256 checksums; this repository distributes binaries rather than source.
• 🌍 Phoenix ⭐ 11k+ – ML observability for LLM apps.
• 🌍 Promptfoo ⭐ 25k+ – LLM evaluation and red-teaming.
• 🌍 Weights & Biases – Experiment tracking with LLM support.

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Community Projects

Chat Interfaces

• 🌍 LibreChat ⭐ 45k+ – Multi-model chat interface.
• 🌍 Open WebUI ⭐ 154k+ – Self-hosted ChatGPT-like UI.

RAG & Knowledge Management

• 🌍 Khoj ⭐ 37k+ – AI second brain.
• 🌍 LocalGPT ⭐ 22k+ – Chat with documents locally.
• 🌍 Onyx ⭐ 32k+ – Enterprise Q&A over internal docs (formerly Danswer).
• 🌍 PrivateGPT ⭐ 57k+ – Private document Q&A.
• 🌍 Quivr ⭐ 39k+ – Personal knowledge base.

Specialized Applications

• 🌍 Fabric ⭐ 44k+ – AI augmentation framework.
• 🌍 GPT Researcher ⭐ 29k+ – Autonomous research agent.
• 🌍 OpenHands ⭐ 90k+ – AI software engineer (formerly OpenDevin).

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Demos & Examples

Official Examples

See the Mistral Cookbook for notebooks covering RAG, tools, agents and embeddings.

• 🧠 Agentic Search Guide – Multi-step retrieval (search, open, navigate, read, grep) over Libraries and Search Toolkit indexes.
• 🧠 API Examples – Complete API reference with examples.

Community Examples

• 🌍 LangGraph ⭐ 42k+ – Stateful multi-agent and workflow examples with Mistral.

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Tutorials & Guides

Getting Started

• 🧠 Mistral Quickstart – Official getting started guide (first API request, agents, RAG, workflows).
• 🧠 Model Selection Guide – Choosing the right model, with the current lineup and lifecycle status.
• 🌍 Run Mistral Locally – Ollama setup guide.

Fine-Tuning Tutorials

• 🌍 Axolotl Mistral Examples – Config examples.
• 🧠 Mistral Fine-Tuning API – ⚠️ Deprecated, no longer actively supported – use the fine-tuning frameworks above or Forge for enterprise training.
• 🌍 QLoRA Guide – 4-bit fine-tuning.
• 🌍 Unsloth Tutorials ⭐ 5k+ – Official Unsloth fine-tuning notebooks, including Mistral-family examples.

RAG & Applications

• 🌍 LangChain + Mistral – LangChain integration.
• 🌍 LlamaIndex + Mistral – RAG with LlamaIndex.
• 🧠 RAG with Mistral – Official RAG quickstart.

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Benchmarks & Evaluation

Leaderboards

• 🌍 Arena – Human preference rankings (formerly LMArena / Chatbot Arena).
• 🌍 Artificial Analysis – LLM quality and speed benchmarks.
• 🌍 Open LLM Leaderboard – Hugging Face benchmarks.

Evaluation Frameworks

• 🌍 HELM – Stanford's holistic evaluation.
• 🌍 lm-evaluation-harness ⭐ 14k+ – EleutherAI's eval framework.
• 🌍 OpenCompass ⭐ 7k+ – Comprehensive LLM evaluation.

Code Benchmarks

• 🌍 BigCodeBench – ⚠️ Archived, no longer maintained – use EvalPlus or HumanEval instead.
• 🌍 EvalPlus – Published code-evaluation suite, retained as a benchmark for reproducibility; no upstream push since 2025-10-02.
• 🌍 HumanEval – Historical code-generation benchmark accompanying the 2021 paper; retained for reproducibility.

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Research & Papers

Mistral Technical Reports

• 🧠 Introducing Mistral 3 – Mistral Large 3 / Ministral 3 family announcement and benchmarks.
• 🧠 Leanstral 1.5 Blog – Lean 4 formal proof agent update.
• 🧠 Mistral 7B – Foundational 7B architecture paper.
• 🧠 Mistral Small 4 Blog – Hybrid MoE architecture announcement.
• 🧠 Mixtral of Experts – Sparse MoE architecture.
• 🧠 Robostral Navigate Technical Report – Robostral Navigate architecture and training paper.
• 🧠 Shieldstral Technical Report – Policy-adaptive multimodal safety classifier paper.
• 🧠 Voxtral Blog – Real-time speech-to-text models.
• 🧠 Voxtral Mini Technical Report – Voxtral Mini 4B Realtime architecture paper.

Related Research

• 🌍 DPO – Direct Preference Optimization.
• 🌍 LoRA – Low-Rank Adaptation paper.
• 🌍 Mixture of Experts – MoE foundations.
• 🌍 QLoRA – Quantized LoRA for efficient fine-tuning.
• 🌍 Sliding Window Attention – Longformer attention mechanism.

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Talks & Media

Official Channels

• 🧠 Mistral AI Blog – Official announcements.
• 🧠 Mistral AI Discord – Official community server.
• 🧠 Mistral AI Twitter/X – Official updates.

Video Channels

• 🌍 AI Explained – Technical breakdowns.
• 🌍 Hugging Face YouTube – Tutorials with Mistral.

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Ecosystem & Community

Cloud catalogs vary by region, version and retirement policy. A provider listing does not guarantee availability of the latest Mistral models.

Cloud Providers

• 🌍 AWS Bedrock – Mistral model cards in Amazon Bedrock.
• 🌍 Google Cloud Gemini Enterprise Agent Platform – Mistral partner models on Google Cloud (formerly Vertex AI).
• 🌍 Microsoft Foundry – Mistral models sold directly by Azure in the Foundry catalog (formerly Azure AI Studio).
• 🌍 Replicate – Run Mistral via API.
• 🌍 Together AI – Mistral model hosting.

Community Hubs

• 🧠 Hugging Face Hub – Official model repository and model cards.
• 🌍 r/LocalLLaMA – Local LLM community.
• 🌍 r/MistralAI – Mistral-focused subreddit.

Partnerships

• 🧠 European Compute Coalition – Multi-year compute capacity partnership with Amadeus, ASML, Capgemini, Caisse des Dépôts, and CMA CGM, targeting 1GW of European capacity by 2030.
• 🌍 Microsoft Strategic Partnership – Multibillion-dollar European AI infrastructure deal; Mistral Medium 3.5 and OCR 4 available in Microsoft Foundry and Copilot Studio.
• 🧠 NVIDIA Nemotron Coalition – Founding member of NVIDIA's open frontier model coalition, co-developing open-source models.
• 🌍 TotalEnergies Reservoir AI Partnership – Three-year joint program announced 2026-09-15, representing more than €100M of investment, to develop frontier AI models for reservoir exploration and engineering; TotalEnergies describes the resulting models as proprietary.

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Contributing

Contributions are welcome! Please read the contribution guidelines before submitting a pull request.

Quick Guidelines

1. Cite primary sources and ensure every link leads to the intended resource
2. Follow the resource format, including alphabetical order and the optional ⭐ snapshot from 5k stars
3. Meet the selection criteria for relevance, maintenance and adoption

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License

This work is licensed under CC0 1.0 Universal.