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Mini toolsMistral Small 3.2
By Mistral AI
Model family: Mistral
Mistral Small 3.2 (24B) is a scaled-up version of the compact Small 3.2 family, designed to maximize capability without losing the speed and efficiency benefits that make the “Small” line appealing. With 24 billion parameters, it delivers noticeably better reasoning, summarization, and multilingual performance than lighter variants, while retaining low-latency inference suitable for real-time assistants.
The model is instruction-tuned to follow prompts cleanly, generate step-by-step explanations, and produce schema-consistent JSON or function calls, which makes it straightforward to plug into automation pipelines, retrieval-augmented generation setups, and agent frameworks. Its long-context handling allows it to process extended conversations, multi-document workflows, or repo-scale codebases with reliable coherence.
Engineered for deployment flexibility, it runs efficiently on modern GPU servers with quantization options for memory savings, and it can be adapted with LoRA or domain-specific fine-tuning. Typical uses include customer and employee copilots, analytics explainers, enterprise chatbots, and code assistants where you want stronger accuracy and reasoning than smaller models but at a fraction of the serving cost of Large 2.
The model is instruction-tuned to follow prompts cleanly, generate step-by-step explanations, and produce schema-consistent JSON or function calls, which makes it straightforward to plug into automation pipelines, retrieval-augmented generation setups, and agent frameworks. Its long-context handling allows it to process extended conversations, multi-document workflows, or repo-scale codebases with reliable coherence.
Engineered for deployment flexibility, it runs efficiently on modern GPU servers with quantization options for memory savings, and it can be adapted with LoRA or domain-specific fine-tuning. Typical uses include customer and employee copilots, analytics explainers, enterprise chatbots, and code assistants where you want stronger accuracy and reasoning than smaller models but at a fraction of the serving cost of Large 2.
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Overview
Mistral 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.
About Mistral AI
Mistral AI is a company that specializes in artificial intelligence and machine learning solutions.
Industry:
Technology, Information and Internet
Company Size:
350
Location:
Paris, FR
Website:
mistral.ai
Tools using Mistral Small 3.2
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Relay.app fills the gap between AI and actually using it. It allows you to build your own custom flows and agents, unlocking a level of customisation that was previously only achievable through custom code. It's a game changer, and the free plan is so generous - go try it!
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Looks like an interesting project with complete focus on ease of use and no-code environment! 🤩 #NoCode #Project #Software #Development #EaseOfUse
Last updated: February 3, 2026
