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Mini toolsMistral models
Browse all models from this model family.
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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 3mo 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 4mo 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 6mo 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 6mo 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 6mo 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 6mo 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 8mo 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 8mo 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
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By Mistral AIMistral Small 3.2 (24B) is the largest configuration of the “Small” line—around 24B dense parameters—offering stronger reasoning and coding skills while staying cheaper and faster than Mistral Medium or Large. It supports long context, JSON outputs, and tool/function calling for production copilots and RAG.TextReleased 1y ago
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By Mistral AIMistral Small 3 is a pre-trained and instructed model catered to the ‘80%’ of generative AI t...TextReleased 1y ago
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By Mistral AICodestral 25.01 is Mistral’s code-specialized model, tuned for high-quality generation, completion (including fill-in-the-middle), refactoring, debugging, and test creation across popular languages. It handles long-context repos, returns structured outputs, and slots cleanly into IDEs, agents, and CI pipelines.TextReleased 1y ago
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By Mistral AIPixtral Large is Mistral’s flagship vision-language model. It takes images plus text and returns grounded, step-by-step answers—great for document OCR, charts/diagrams, UI screenshots, and general visual QA—with long-context support, tool/function calling, and reliable JSON outputs.TextReleased 1y ago
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By Mistral AIMinistral 3B (2410) is Mistral’s ultra-compact dense LLM—around 3 billion parameters—built for speed, efficiency, and low compute cost. It supports instruction following, summarization, reasoning, and lightweight coding tasks, with JSON outputs and function/tool calling for agents and automations.TextReleased 1y ago
