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Mini toolsMistral models
Browse all models from this model family.
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By Mistral AIRobostral Navigate is an 8B parameter robotics navigation model that uses a single RGB camera and natural language instructions to autonomously guide robots through complex environments. It predicts the next target location via image based pointing and falls back to local coordinate displacements when the target is out of view, achieving 76.6 percent success on R2R-CE validation unseen without depth sensors, LiDAR, or multiple cameras.NewMultimodalReleased 6d ago
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By Mistral AILeanstral 1.5 119B A6B is a mixture of experts model with 119 billion total parameters and 6.5 billion active per token, built by Mistral AI as a code agent for formal verification in Lean 4. It accepts text and image input and produces text output, with a 256k token context window. It solves competition math benchmarks like miniF2F and PutnamBench and can verify code correctness properties, uncovering real bugs in open source repositories.NewCodingReleased 12d ago
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By Mistral AIMistral OCR 4 extracts and structures content from PDF, DOC, PPT, and OpenDocument files, returning text alongside bounding boxes, typed block classification (titles, tables, equations, signatures), and inline confidence scores. Supports 170 languages across 10 language groups. Deployable via API or self-hosted in a single container for data-sovereignty compliance.NewMultimodalReleased 21d ago
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By Mistral AIMistral Medium 3.5 is Mistral’s new flagship merged model for instruction following, reasoning, and coding. It is a dense 128B model with a 256K context window, built for long-horizon productivity and agentic work, with configurable reasoning effort and strong self-hosted efficiency.NewMultimodalReleased 2mo ago
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By Mistral AIMistral Small 4 is an open hybrid model that unifies instruct, reasoning, and coding in a single multimodal model with a 256k context window.MultimodalReleased 3mo ago
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By Mistral AIMistral Moderation 2 is Mistral’s latest moderation model with a 128k context window and built-in jailbreaking detection, based on Ministral 3B.TextReleased 4mo ago
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By Mistral AI4B-parameter multilingual streaming ASR model for real-time transcription and translation across 13 languages, delivering sub-500 ms latency with open weights suitable for on-device or server use.AudioReleased 5mo ago
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By Mistral AIThe largest Ministral 3 model offers frontier text and vision capabilities comparable to larger 24B models. Edge-optimized for single GPU deployment (24GB VRAM in FP8), it delivers state-of-the-art performance for chat, document analysis, and complex reasoning tasks with multilingual support across 40+ languages.TextReleased 7mo ago
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By Mistral AIBest-in-class text and vision model for edge deployment, optimized for single GPU operation with minimal footprint. Features interleaved sliding-window attention for efficient inference. Ideal for constrained environments, chat interfaces, image/document understanding, and balanced local deployment scenarios.TextReleased 7mo ago
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By Mistral AIThe smallest yet robust Ministral model, edge-optimized for ultra-low-resource environments. Despite its compact size (~3GB), it provides strong language and vision capabilities, outperforming older 7B models. Runs entirely in browser via WebGPU. Ideal for IoT devices, mobile apps, and offline assistants.TextReleased 7mo ago
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By Mistral AIMinistral 3 14B Instruct 2512 is Mistral’s largest Ministral 3 model, built as an efficient instruction model with vision capabilities. Mistral positions it as delivering frontier-level capability while staying compact enough for local or edge deployment.MultimodalReleased 7mo ago
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By Mistral AIMistral 3 is Mistral AI’s next-gen open multimodal, multilingual family, combining small dense Ministral 3 edge models with the frontier Mistral Large 3 MoE to deliver image-aware, long-context language intelligence.TextReleased 7mo ago
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By Mistral AIMagistral Medium 1.2 is Mistral AI’s mid-tier reasoning model, designed to balance capability and efficiency. It delivers stronger analysis, coding, and multilingual performance than the Small variant while keeping inference practical, with support for long-context inputs, JSON outputs, and tool/function calling.TextReleased 9mo ago
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By Mistral AIMagistral Small 1.2 is Mistral AI’s compact reasoning model, optimized for efficiency and cost-sensitive deployments. With strong instruction following, reliable reasoning, and structured JSON outputs, it’s suited for lightweight copilots, chat assistants, and automation workflows where speed and affordability are key.TextReleased 9mo ago
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AudioReleased 11mo ago
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By Mistral AIMagistral Medium is Mistral’s mid-tier model in the Magistral line, designed to balance stronger reasoning and coding skills with practical deployment efficiency. It supports long-context prompts, structured JSON outputs, and tool/function calling, making it well suited for enterprise copilots, RAG, and workflow automation.TextReleased 1y ago
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By Mistral AIMagistral Small is a compact model from Mistral’s specialized lineup, tuned for efficiency while still offering solid reasoning and coding capabilities. At a smaller footprint, it delivers quick instruction following, structured JSON outputs, and function/tool calling support—making it ideal for cost-sensitive, real-time copilots and automations.TextReleased 1y ago
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TextReleased 1y ago
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By Mistral AIMistral Medium 3 is the balanced model in Mistral AI’s open-weight lineup—designed to offer solid reasoning, coding, and multilingual support with lower latency and cost than Large 2. It supports long-context prompts, tool/function calling, JSON outputs, and streaming for production copilots and RAG workflows.TextReleased 1y ago
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By Mistral AIMistral Small 3.1 is a 24B open weights multimodal model with long context, strong coding and reasoning, and efficient deployment on commodity hardware.TextReleased 1y ago
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By Mistral AIMistral 3.1 Small is a fast, cost-efficient reasoning model with long context, reliable tool calling, and clean JSON output.TextReleased 1y ago
