Full-Time
Develops and deploys large language models
No salary listed
Junior, Mid
H1B Sponsorship Available
Palo Alto, CA, USA
Mistral AI develops and deploys Large Language Models (LLMs) that can understand and generate human-like text. Their main products include an API that allows clients to access these models on a pay-as-you-go basis, making it easy for businesses of all sizes to integrate advanced AI capabilities without large upfront costs. Additionally, Mistral AI offers open-source models that can be accessed through platforms like Hugging Face, encouraging community involvement and continuous improvement of the models. Unlike many competitors, Mistral AI combines a flexible API with open-source offerings, allowing for both commercial use and community contributions. The company's goal is to provide scalable and cost-effective AI solutions while fostering innovation through community engagement.
Company Size
201-500
Company Stage
Series B
Total Funding
$1.2B
Headquarters
Paris, France
Founded
2023
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Health Insurance
Company Equity
Parental Leave
401(k) Retirement Plan
Paid Vacation
Dario Amodei reportedly made the comment last month, adding that he expects it to happen within one to five years. He also believes that it would raise the unemployment rate to 10% to 20%. The unemployment rate for May was 4.2%, according to the Bureau of Labor Statistics. During a private briefing with journalists and analysts at the VivaTech 2025 conference in Paris, a relaxed and candid Huang said it didn’t make sense to him that Amodei believes AI will take all these jobs and also imply that Anthropic should be the only one to develop AI. Also, Huang pointed out why it is illogical for Amodei to say AI can be dangerous
Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more. European AI powerhouse Mistral today launched Magistral, a new family of large language models (LLMs) that marks the first from the company to enter the increasingly competitive space of “reasoning,” or models that take time to reflect on their thinking to catch errors and solve more complex tasks than basic text-based LLMs. The announcement features a strategic dual release: a powerful, proprietary Magistral Medium for enterprise clients, and, notably, a 24-billion parameter open-source version, Magistral Small.The latter release appears calculated to reinforce the company’s commitment to its foundational roots, following a period where it faced criticism for leaning into more closed, proprietary models such as its Medium 3 for enterprises, launched back in May 2025.A return to open source rootsIn a move that will undoubtedly be celebrated by developers and the wider AI community, Mistral is releasing Magistral Small under the permissive open source Apache 2.0 license.This is a crucial detail. Unlike more restrictive licenses, Apache 2.0 allows anyone to freely use, modify, and distribute the model’s source code, even for commercial purposes. This empowers startups and established companies alike to build and deploy their own applications on top of Mistral’s latest reasoning architecture without licensing fees or fear of vendor lock-in.This open approach is particularly significant given the context
French AI startup Mistral on Tuesday announced it’s launching its first reasoning model to compete take rivals like OpenAI and China’s DeepSeek.Unlike the other reasoning models, Mistral’s new model will bring something fresh to the table that its competitors don’t have: the ability to think through problems in multiple languages.“We’re announcing in a couple of hours our new reasoning model, which is very much competitive with all the others and has the specificity of being able to reason in multiple languages,” CEO Arthur Mensch told CNBC in an interview during a fireside chat at London Tech Week.Mistral is launching its First Reasoning Model to Challenge OpenAI and DeepSeekThe launch puts Mistral head-to-head with some serious competition. OpenAI’s o1 model has been available to ChatGPT users since late last year, while DeepSeek’s R1 represents China’s entry into the reasoning model space. But Mistral thinks it has found a gap in the market.Reasoning models work differently from regular AI chatbots. Instead of just spitting out answers, they work through complex problems step by step, showing their logical thought process. Think of it like watching someone solve a math problem by writing out each step rather than just giving you the final answer.However, Apple’s latest research paper suggests that AI reasoning capabilities may not live up to the hype. The company’s researchers published a paper called “The Illusion of Thinking” that’s shaking up assumptions about these models
This effort is part of the tech giant’s effort to foster trust among its cloud customers as it sells them AI products from companies like OpenAI and xAI, the Financial Times (FT) reported Sunday (June 8). Sarah Bird, Microsoft’s head of Responsible AI, told the FT the company would soon add a “safety” category to its “model leaderboard,” a feature it created recently for developers to rank iterations from providers including China’s DeepSeek and France’s Mistral. The leaderboard, which is accessible to clients using the Azure Foundry developer platform, is expected to influence which AI models and applications are purchased via Microsoft
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Mistral AI unveiled a comprehensive enterprise coding assistant Wednesday, marking the French artificial intelligence company’s most aggressive push yet into the corporate software development market dominated by Microsoft’s GitHub Copilot and other Silicon Valley rivals.The new product, called Mistral Code, bundles the company’s latest AI models with integrated development environment plugins and on-premise deployment options specifically designed for large enterprises with strict security requirements. The launch directly challenges existing coding assistants by offering what the company says is unprecedented customization and data sovereignty.“Our most significant features are that we propose more customization and to serve our models on premise,” said Baptiste Rozière, a research scientist at Mistral AI and former Meta researcher who helped develop the original Llama language model, in an exclusive interview with VentureBeat. “For customization, we can specialize our models for the customer’s codebase, which can make a huge difference in practice to get the right completions for workflows that are specific to the customer.”The enterprise focus reflects Mistral’s broader strategy to differentiate itself from OpenAI and other American competitors by emphasizing data privacy and European regulatory compliance. Unlike typical software-as-a-service coding tools, Mistral Code allows companies to deploy the entire AI stack within their own infrastructure, ensuring that proprietary code never leaves corporate servers.“With on-prem, we can serve the model on the customer’s hardware,” Rozière explained