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Mistral Large 2

Model family: Mistral
Mistral Large 2 refines the Mistral family with higher accuracy and broader coverage across reasoning, software engineering, and cross-lingual tasks. Itโ€™s a dense, text-in/text-out model that follows instructions reliably and produces step-by-step, grounded answers. Developers can take advantage of built-in function calling, structured JSON output modes, and streaming, which allow seamless integration into agent frameworks, retrieval-augmented generation setups, and automation pipelines.

The model is optimized for both throughput and quality: its long context window (~128K) enables multi-document reasoning, codebase-level tasks, and extended chats, while quantization and efficient inference kernels keep latency and cost manageable. Itโ€™s open weights under a permissive license, so teams can deploy it locally, fine-tune with LoRA or adapters, or serve at scale via cloud runtimes like vLLM.

In practice, Mistral Large 2 is used for enterprise copilots, multilingual knowledge assistants, repo-level coding agents, and analytical workflows that require accuracy and reproducibility. Itโ€™s the โ€œall-purposeโ€ high-end model from Mistralโ€”compact enough for practical serving, but powerful enough to compete with other frontier-scale open LLMs.
New Text Gen 7
Released: July 24, 2024

Overview

Mistral Large 2 is Mistral AIโ€™s flagship open-weight dense LLM, designed for strong reasoning, coding, and multilingual use. It supports long-context prompting (up to ~128K), tool/function calling, and reliable JSON outputs, making it suitable for RAG, agents, and enterprise copilots.

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
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Tools using Mistral Large 2

Last updated: February 12, 2026
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