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.
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.
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.
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.
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.
