• Mistral Medium 3 introduces a new class of models that balances
• SOTA performance
• 8X lower cost
• simpler deployability to accelerate enterprise usage
• The model leads in professional use cases such as coding and multimodal understanding
• The model delivers a range of enterprise capabilities including:
• Hybrid or on-premises / in-VPC deployment
• Custom post-training
• Integration into enterprise tools and systems (View Highlight)
Mistral Medium 3 delivers frontier performance while being an order of magnitude less expensive. For instance, the model performs at or above 90% of Claude Sonnet 3.7 on benchmarks across the board at a significantly lower cost (0.4input/2 output per M token). (View Highlight)
On performance, Mistral Medium 3 also surpasses leading open models such as Llama 4 Maverick and enterprise models such as Cohere Command A. On pricing, the model beats cost leaders such as DeepSeek v3, both in API and self-deployed systems. (View Highlight)
In addition to academic benchmarks we report third-party human evaluations that are more representative of real-world use cases. Mistral Medium 3 continues to shine in the coding domain and delivers much better performance, across the board, than some of its much larger competitors. (View Highlight)
Mistral Medium 3 stands out from other SOTA models in its ability to adapt to enterprise contexts. In a world where organizations are forced to choose between fine-tuning over API or self-deploying and customizing model behaviour from scratch, Mistral Medium 3 offers a path to comprehensively integrate intelligence into enterprise systems. With the help of Mistral’s applied AI solutions, the model can be continuously pretrained, fully fine tuned, and blended into enterprise knowledge bases, making it a high-fidelity solution for domain-specific training, continuous learning, and adaptive workflows. Beta customers across financial services, energy, and healthcare are using the model to enrich customer service with deep context, personalize business processes, and analyze complex datasets. (View Highlight)
The Mistral Medium 3 API is available starting today on Mistral La Plateforme and Amazon Sagemaker, and soon on IBM WatsonX, NVIDIA NIM, Azure AI Foundry, and Google Cloud Vertex. To deploy and customize the model in your environment, please contact us. (View Highlight)
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