> ## Documentation Index > Fetch the complete documentation index at: https://documentation.deepmask.io/llms.txt > Use this file to discover all available pages before exploring further. # Mistral Large 3 > Mistral Large 3 and Mistral Medium 3 on DeepMask. State-of-the-art open-weight models for multilingual reasoning, coding, and scalable enterprise workflows. Mistral AI's Large 3 and Medium 3 models give you a choice between maximum capability and maximum efficiency. Mistral Large 3 is a 675B parameter open-weight powerhouse optimized for multilingual enterprise workflows and data sovereignty, while Mistral Medium 3 delivers frontier-level performance at a fraction of the cost — ideal for high-throughput production systems. Both models are built for European enterprise requirements. ## About Mistral Large 3 is a state-of-the-art 675B parameter Mixture-of-Experts (MoE) model from Mistral AI. It is currently the top-ranked open-weight model globally, with 41B active parameters and a 256K context window. It provides a no-compromise open-source alternative to proprietary frontier models for organizations requiring full data sovereignty, high-fidelity reasoning, and multilingual capability across 40+ languages. As a Mistral AI model, Mistral Large 3 is available for on-premise and private cloud deployments, making it one of the strongest choices for European data sovereignty requirements. ## Key Capabilities Exceptional performance across 40+ languages, with strong results in French, German, Spanish, and Arabic. Extracts structured data from complex financial reports and scanned documents with high fidelity. Achieves approximately 92% on HumanEval, rivaling frontier models in clean, idiomatic code generation. The premier choice for deployments where data privacy and EU residency are non-negotiable. ## Use Cases * **Global enterprise automation** — Manage multilingual customer support and legal workflows across international borders. * **Technical document synthesis** — Digest 200+ page engineering manuals to provide precise architectural guidance. * **Private RAG systems** — Power internal knowledge bases where data must remain behind a corporate firewall. * **Complex coding workflows** — Build and refactor production codebases with near-frontier coding performance. Mistral Large 3 is the right choice when you need the strongest possible open-weight reasoning, especially for multilingual tasks or deployments where full data control is required. ## Specifications | Specification | Value | | ---------------- | --------------------------------- | | Model Provider | Mistral AI | | Main Use Cases | Complex Coding, Multi-Step Agents | | Reasoning Effort | Adaptive (Standard/High) | | GPQA Diamond | 78.9% | | Max Context | 262K Tokens | | Latency (TTFT) | 0.55s | | Throughput | 36 Tokens/sec | ## About Mistral Medium 3 is designed as the perfect balance for enterprise production. It achieves or exceeds 90% of the benchmark performance of much larger models while being significantly less expensive. It is specifically optimized for professional use cases — coding, STEM, and multimodal understanding — where latency and cost are as important as raw intelligence. It supports seamless switching between cloud API and local VPC or on-premises deployments. Mistral Medium 3 supports hybrid deployment across cloud APIs and on-premises infrastructure, enabling flexible European data residency configurations. ## Key Capabilities Can be fine-tuned into private knowledge bases for domain-specific mastery and custom use cases. Performs exceptionally well in physics and engineering tasks, nearly matching Large-class models at a fraction of the cost. High-reliability function calling and structured output for enterprise systems integration. Available via cloud API or on-premises setups — supports European data residency configurations. ## Use Cases * **Domain-specific experts** — Deploy custom fine-tuned instances for legal advice, medical diagnostics, or technical support. * **High-throughput coding assistants** — Power enterprise-wide code generation with low latency and cost. * **Complex data analysis** — Enrich customer service pipelines with deep context from massive enterprise datasets. * **Math reasoning** — Handle STEM-heavy tasks in physics and engineering at near-Large model quality. Use Mistral Medium 3 when you need reliable frontier-class performance at scale without the cost of a full Large model. It is a strong default for production deployments where throughput and cost efficiency matter. ## Specifications | Specification | Value | | ---------------- | --------------------------------------------------- | | Model Provider | Mistral AI | | Main Use Cases | Enterprise Chat, Math Reasoning, On-Prem Deployment | | Reasoning Effort | Standard (Native) | | GPQA Diamond | 57.8% | | Max Context | 131K Tokens | | Latency (TTFT) | 0.42s | | Throughput | 49 Tokens/sec |