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French AI startup Mistral is releasing a new AI model, Mistral Medium 3, that\u2019s focused on efficiency without compromising performance.<\/p>\n
Available in Mistral\u2019s API priced at $0.40 per million input tokens and $20.80 per million output tokens, Mistral Medium 3 performs \u201cat or above\u201d 90% of Anthropic\u2019s costlier Claude Sonnet 3.7 model on \u201cbenchmarks across the board,\u201d claims Mistral. It also surpasses recent open models including Meta\u2019s Llama 4 Maverick and Cohere\u2019s Command A on popular AI performance evaluations. <\/p>\n
Tokens are the raw bits of data models work with, with a million tokens equivalent to about 750,000 words (roughly 163,000 words longer than \u201cWar and Peace\u201d).<\/p>\n
\u201cMistral Medium 3 can [\u2026] be deployed on any cloud, including self-hosted environments of four GPUs and above,\u201d explained Mistral in a blog post sent to TechCrunch. \u201cOn pricing, the model beats cost leaders such as DeepSeek v3, both in API and self-deployed systems.\u201d<\/p>\n Mistral, founded in 2023, is a frontier model lab, aiming to build a range of AI-powered services including a chatbot platform, Le Chat, and mobile apps. It\u2019s backed by VCs including General Catalyst, and has raised over \u20ac1.1 billion (roughly $1.24 billion) to date. Mistral\u2019s customers include BNP Paribas, AXA, and Mirakl. <\/p>\n According to Mistral, Mistral Medium 3 is best for coding and STEM tasks, and excels at multimodal understanding. The company says that clients in financial services, energy, and healthcare have been beta testing the model for use cases like customer service, workflow automation, and analyzing complex data sets. <\/p>\n In addition to Mistral\u2019s API, where enterprise customers can work with Mistral to fine-tune it, Mistral Medium 3 is available on Amazon\u2019s Sagemaker platform starting Wednesday. It\u2019ll soon come to other hosts, including Microsoft\u2019s Azure AI Foundry and Google\u2019s Vertex AI platforms, the company added.<\/p>\n Techcrunch event<\/p>\n \n\t\t\t\t\t\t\t\t\tBerkeley, CA<\/span>
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\n\t\t\t\t\t\t\t\t\t\t\t\t\tJune 5<\/span>\n\t\t\t\t\t\t\t<\/p>\n