--- title: 'Mistral — company profile' canonical: 'https://feeny.ai/companies/mistral' type: 'company' updated: '2026-07-02' --- # Mistral > A French AI lab building open and frontier-grade large language models, with the full developer and enterprise stack around them. - **Website:** https://mistral.ai/ - **Type:** Private (Series C) - **Headquarters:** Paris, France - **Founded:** 2023 - **Founders:** Arthur Mensch, Guillaume Lample, Timothee Lacroix - **Valuation:** $14B - **Total raised:** $3B+ - **Latest round:** Series C · 1.7B euros · Sept 2025 - **Investors:** ASML, Nvidia, Andreessen Horowitz, DST Global, General Catalyst, Index Ventures, Lightspeed, Bpifrance, Microsoft - **Business model:** AI models + platform (B2B, B2D, and consumer) - **Industries:** Artificial Intelligence - **Open roles:** 151 - **Profile:** https://feeny.ai/companies/mistral ## What they do Mistral is a French AI lab that builds open and frontier-grade large language models and sells the full stack around them: developer tooling, an agent studio, consumer and enterprise apps like Le Chat and Vibe, custom model training, and its own GPU compute. Its edge is deployment control, with open weights, EU hosting, and self-hosting for regulated and sovereign buyers. ## Overview **Europe's frontier lab, betting that open AI beats closed** Mistral was born in April 2023 out of a bet that the AI wave shouldn't belong to a handful of American labs behind closed APIs. Its three founders left DeepMind and Meta to build a European alternative that ships open-weight models, keeps costs down, and hands control back to the people running the models. The wager has aged well. In under three years the company grew past 900 people, released frontier models on a near-monthly cadence, and in September 2025 raised a 1.7 billion euro Series C led by chipmaking giant ASML at an 11.7 billion euro valuation. Paris now has a homegrown answer to OpenAI, and the pressure that comes with it. ## What They Do **One company, the whole AI stack** Most AI companies pick a lane: a model lab, or a dev platform, or an app. Mistral runs all three at once. It trains its own frontier and open-weight models, wraps them in developer tooling and a studio for building agents, ships consumer and enterprise apps like Le Chat and the Vibe coding agent, and now sells the GPU infrastructure the models run on. The pitch to a bank or a defense ministry is that they can take the entire thing behind their own firewall. Deploy on-premises, in a private cloud, or through a partner cloud, and the data never leaves the building. That full-stack ownership, plus the EU-hosted option, is the whole reason a regulated buyer picks Mistral over a US API. ## Problems **Frontier AI for buyers who can't send data to someone else's cloud** Plenty of enterprises want generative AI and can't touch a public API with it. A bank, a hospital network, a defense contractor, or a government agency has data-residency rules, sovereignty concerns, and compliance regimes that rule out shipping sensitive workloads to a US-hosted model. Mistral's answer is to bring the model to the data. It co-builds tailored systems with customers in finance, manufacturing, defense, energy, healthcare, and the public sector, then deploys them in the customer's own environment. The open-weight models and the self-hosting option are what let a sovereign institution actually own the thing it runs. ### Problems addressed - Running frontier AI on sensitive data that can't leave a regulated environment - Deploying AI on-premises, in a private cloud, or in the EU for sovereignty and compliance - Building and customizing models on proprietary data without depending on a US API - Automating long-horizon knowledge work and software engineering - Extracting structure from documents and audio (OCR, voice) ## Who It's For **Regulated enterprises, governments, and the developers building on top** Mistral sells to two crowds at once. On one side sit large enterprises and public institutions in high-stakes industries, the buyers who need control, on-prem deployment, and a partner willing to co-engineer a system for a hard, specific problem. On the other side sit developers who pull the open-weight models off the shelf, build on the API, or reach for the Vibe coding agent. The consumer app Le Chat and its successor Vibe widen the funnel further, giving everyday users a European alternative to ChatGPT that runs on models hosted in the EU. ### Ideal customer profiles - **CTO / Head of AI at a regulated enterprise** — Needs frontier AI without sending data to a public US API; Wants deployment control and compliance; Must justify AI spend against real business impact - **Developer / ML engineer** — Wants open-weight models to build on and self-host; Needs a cost-efficient API and agentic coding tools; Wants to fine-tune and customize models - **Public-sector / sovereign-institution leader** — Requires data residency and sovereignty; Needs a European, independent AI partner; Operates in high-stakes, mission-critical settings ## Products **From the models up to the metal** Mistral's lineup climbs the whole stack. At the base are the models: the frontier-grade Mistral Large, the efficient Small line, the OCR document model, and the Voxtral voice model, many of them open-weight. Above them sits Studio for building and running agents, Forge for training custom models on private data, and Compute, the GPU infrastructure that trains Mistral's own models and is now rented out to others. At the top are the apps people actually touch, Le Chat and the Vibe coding agent. ## Business Model **Free consumer app, paid seats, and custom enterprise deployments** Mistral makes money three ways at once. Developers pay per token on the API, priced per million tokens in and out with a 50 percent batch discount. Individuals and teams pay a monthly subscription for the Vibe app, from a free tier up through Pro and Team seats. And the real revenue engine is enterprise: custom models, private deployments, and co-engineered systems sold as contracts, not price tags. The published plans anchor the low end. Everything sovereign, self-hosted, or white-labeled moves to a sales conversation. ### Plans Mistral prices three products distinctly. Developers pay per token on the API, quoted per million tokens for input and output (Mistral Large runs $2/M in and $6/M out) with a 50 percent discount on batch jobs. Consumers and teams pay a monthly subscription for the Vibe app, from a free tier up to Pro and Team seats, with pay-as-you-go credits to burst past plan limits. Anything sovereign, self-hosted, or white-labeled is a custom enterprise contract. - **Free** — $0 · Individuals trying out the AI agent A personal AI agent for everyday tasks - Access to Mistral's SOTA models - Web and mobile access - Limited messages and web searches - Limited coding sessions - Image generation - 100+ connectors - **Pro** — $14.99/mo · Power users and solo developers Full access to Vibe for long-running tasks plus all-day coding - Higher message and web-search limits - All-day coding in the CLI, IDE, and web - Up to 40x more image generations - Up to 15GB document upload - Chat and email support - **Team** — $24.99/user/mo · Teams building with AI Secure, collaborative workspace - Everything in Pro - Up to 30GB storage per user - Domain name verification - Data export - Higher feature allowances - **Enterprise** — Custom · Large and regulated organizations Private deployments with custom models, UI, and tools - Custom models, agents, and workflows - Self-hosted / private-cloud / on-premises deployment - SAML SSO - Audit logs - White label (dedicated hostname, your logo) - Admin API - **Education** — $5.99 · Verified students Discounted plan for students at accredited institutions - Valid up to 12 months for first-time verified students Good to know: API is billed per million tokens, input and output counted separately (Mistral Large: $2/M in, $6/M out); Batch processing gets a 50 percent discount; Pay-as-you-go credits extend usage past plan limits at API rates; SAML SSO, audit logs, white label, admin API, and custom deployments are Enterprise-only; All plans allow opting out of model training on your data; Plans priced in USD or EUR depending on region ## Competition **The one open, European name in a field of closed US labs** Mistral competes with OpenAI, Anthropic, and Google on raw model quality, and with every hosted-API vendor on price. It rarely wins on frontier benchmarks alone. What it wins on is a combination almost no rival offers together: open weights, EU hosting, self-hosting, and a full stack from model to compute. That is also the risk. Staying at the frontier costs billions, the field moves monthly, and being the European champion only pays off if regulated buyers keep valuing sovereignty enough to trade a little model performance for a lot of control. ### Their edge - **Open weights** — Ships genuine open-weight models developers can inspect, self-host, and build on, unlike closed-only rivals. - **Full-stack ownership** — Controls everything from frontier models to dev tools, apps, and its own GPU compute, enabling deep customization and reliability. - **European sovereignty** — EU-based hosting plus self-hosting make it the default choice for regulated and government buyers who can't use US-hosted models. - **Cost efficiency** — Models are tuned to run efficiently for their capability, a recurring point of developer praise. ### Where they're betting - Enterprise and government co-engineered deployments - Commercializing Mistral Compute as an infrastructure product - Continuous frontier + open model releases - The ASML partnership and European AI sovereignty ## Proof **900 people, a monthly release drumbeat, and a $14B price tag** The clearest proof is the cadence. Since the first Mistral 7B in late 2023, the company has shipped frontier models, an OCR model, a voice model, a coding agent, a studio, a custom-training service, and its own compute platform, most of them within a two-year window. Behind the products, the headcount tells the same story: past 900 employees across 30-plus nationalities, with more than 40 customer stories published across nine industries. Investors priced all of it at 11.7 billion euros in September 2025. ## What People Say **Praised for efficiency and openness, watched on the frontier gap** Developers tend to like Mistral for the same reasons the company likes itself: models that punch above their size on efficiency and cost, genuine open-weight releases, and a lighter, cheaper alternative to the big US assistants. That reputation is why the open models keep showing up in other people's stacks. The recurring knock is the frontier gap. When people compare Mistral head to head with OpenAI, Anthropic, or Google on the hardest reasoning tasks, the consensus is that it trails the very top, and questions about training-data transparency come up too. For its core buyers, control and openness often matter more than the last few points of benchmark. ## Funding **$14B on the table, and a chipmaker holding the biggest chip** Mistral's September 2025 Series C put 1.7 billion euros in the bank at an 11.7 billion euro valuation, more than doubling the prior year's mark. The lead was the surprise: not a VC but ASML, the Dutch lithography giant that makes the machines that make AI chips, which took roughly an 11 percent stake and a strategic partnership. Nvidia, Andreessen Horowitz, DST Global, General Catalyst, Index Ventures, Lightspeed, and French state bank Bpifrance all joined. By mid-2026 the company was reportedly raising again at a rumored 20 billion euro valuation, the kind of number that only makes sense if the frontier bet keeps paying off. ## Team & Culture **Flat, low-ego, and allergic to order-takers** Mistral describes itself as flat and ownership-heavy, where an individual can shift the company's direction and nobody waits to be told what to do. The stated values are audacity, rigor, customer centricity, speed, and low ego, and the hiring bar leans hard on that last one: the company says it wants system-improvers and builders, not people-pleasers or order-takers. The workforce is deliberately international, past 900 people from more than 30 nationalities with half of leadership roles held by women. Most engineering and science roles are anchored in Paris, with hubs in London, New York, Palo Alto, Singapore, and beyond. ## Security & Legal **A French SAS that keeps the models in the EU** The legal entity is simply Mistral, a French simplified joint-stock company (SAS) registered with the Paris Trade and Companies Register under number 952 418 325, based at 15 rue des Halles in the 1st arrondissement. That French-and-EU footing is a selling point, not a footnote: the Mistral-cloud option keeps servers in the EU, and self-hosting keeps data inside the customer's own walls. Data control is the through-line of the whole product story, which is why sovereign and regulated buyers show up at all. ## In the News **The raise that made ASML a shareholder** The story that put Mistral on every front page was the September 2025 Series C, both for its size and for the identity of its lead investor. A year later, reports of a fresh multibillion-euro round kept the company in the headlines, alongside a steady stream of product launches and the rollout of Le Chat Enterprise. ### Coverage - [Mistral AI raises 1.7B euros to accelerate technological progress with AI](https://mistral.ai/news/mistral-ai-raises-1-7-b-to-accelerate-technological-progress-with-ai/) — Mistral AI (2025-09-09) - [AI firm Mistral valued at $14 billion as chip giant ASML takes major stake](https://www.cnbc.com/2025/09/09/ai-firm-mistral-valued-at-14-billion-as-asml-takes-major-stake.html) — CNBC (2025-09-09) - [What is Mistral AI? Everything to know about the OpenAI competitor](https://techcrunch.com/2025/09/09/what-is-mistral-ai-everything-to-know-about-the-openai-competitor/) — TechCrunch (2025-09-09) - [Mistral is rumored to be raising €3B at €20B valuation](https://techcrunch.com/2026/06/12/mistral-is-rumored-to-be-raising-e3b-at-e20-valuation/) — TechCrunch (2026-06-12) - [Le Chat by Mistral AI](https://mistral.ai/news/le-chat-mistral/) — Mistral AI (2024-11-19) ## Outlook **Can a European lab stay at the frontier?** Mistral's next chapter is an expensive one. Staying frontier-grade against labs with deeper pockets means raising and spending at a scale that its rumored 20 billion euro round only starts to cover, which is why it is turning its own training infrastructure into a rentable Compute product and leaning into custom enterprise deployments for durable revenue. The bet is that sovereignty and openness are a lasting moat, not a temporary preference. If regulated Europe keeps wanting AI it can own, Mistral has the only full-stack, EU-based answer. If the frontier gap widens faster than that loyalty holds, the same buyers have other options. ## Company details - **Mission:** To make frontier AI open to all, and together solve the world's hardest problems. - **Products:** Mistral Large, Mistral Small, Le Chat / Vibe, Mistral Studio, Mistral Forge, Mistral Compute, Mistral OCR, Voxtral - **Customer segments:** Enterprise, Government and public sector, Developers, Consumers - **Buyers / users:** CTOs and heads of AI, Developers and ML engineers, Public-sector and sovereign-institution leaders, Data and platform teams in regulated industries - **Competitors:** OpenAI, Anthropic, Google (Gemini), Meta (Llama), Cohere - **What sets them apart:** Open-weight models, not closed-only APIs; Full-stack ownership from frontier models to developer tools, apps, and GPU compute; EU-based hosting plus self-hosting for data sovereignty; European independent lab positioned for regulated and government buyers; Cost-efficient models that punch above their size - **Tech stack:** Google Cloud, AWS, Azure, SAP, IBM, Snowflake, NVIDIA, Outscale - **Integrations:** Microsoft SharePoint, Google Drive, OneDrive, Gmail, Google Calendar, Notion, Slack, Linear, Custom MCP connectors ## Open roles (151) - [Product Regulatory Legal Counsel (EU)](https://jobs.ashbyhq.com/mistral.ai/6fc4a891-dc04-49c8-a3dc-a5ca48b9518c) — Paris, France - [AI Developer Advocate](https://jobs.ashbyhq.com/mistral.ai/1bddc24a-550d-4a9c-a6b9-f61c4e79566b) — Singapore - [Commercial Legal Counsel - Singapore](https://jobs.ashbyhq.com/mistral.ai/2be156c7-183a-49a3-89c6-62b8539b90f0) — Singapore - [Senior AI Deployment Strategist](https://jobs.ashbyhq.com/mistral.ai/e9b02b1d-1c05-47df-a2b5-62c2b61c96e3) — Paris, France - [Site Reliability Engineer, Mistral Cloud](https://jobs.ashbyhq.com/mistral.ai/4b25c97e-ab58-4148-9126-9d4e2c41aaf7) — Paris, France - [Applied AI Engineer, Fullstack](https://jobs.ashbyhq.com/mistral.ai/b08b805c-0b22-4171-8f6a-71e982bed817) — Seoul, South Korea - [Technical Program Manager, Science Operations, Code](https://jobs.ashbyhq.com/mistral.ai/af97e839-c7dc-42c4-b344-0e2b3c3ced4d) — Paris, France - [Privacy Legal Counsel](https://jobs.ashbyhq.com/mistral.ai/354402a4-0a87-4bae-96af-a0bd4f5f26b2) — Paris, France - [AI Deployment Strategist](https://jobs.ashbyhq.com/mistral.ai/ce5c2671-6db3-499c-928f-ea5a919d566e) — Luxembourg - [AI Deployment Strategist](https://jobs.ashbyhq.com/mistral.ai/4b088dc3-d21a-4eab-8151-5159e0254ca7) — Amsterdam, Netherlands - [Data Scientist](https://jobs.ashbyhq.com/mistral.ai/1d04f989-fa28-45bb-ac4f-60d4bf3f38bc) — Paris, France - [Product Manager, Cloud Partnerships](https://jobs.ashbyhq.com/mistral.ai/3be1652d-f856-441f-b8ae-63b1164578db) — New York, NY - [Talent Acquisition, North America (Contractor)](https://jobs.ashbyhq.com/mistral.ai/15a21229-ecf8-41a4-b010-6e95a1210cf2) — Remote - [Senior Compute Legal Counsel](https://jobs.ashbyhq.com/mistral.ai/9c731d5a-20d1-43ab-9e86-7ccbb9c0038f) — Paris, France - [Applied AI, Forward Deployed Machine Learning Engineer](https://jobs.ashbyhq.com/mistral.ai/fe76010a-6384-4eae-ba08-1a6aa530ecbb) — Montréal, Canada - [Software Engineer, Enterprise Agents](https://jobs.ashbyhq.com/mistral.ai/09b94877-8b34-4371-b1d8-6a0b71845ed9) — Paris, France - [HR People Ops, APAC](https://jobs.ashbyhq.com/mistral.ai/c6bf09ac-2cfa-4834-8c56-be4deb044f4e) — Singapore - [Applied AI, Technical Lead - Forward Deployed AI Engineer](https://jobs.ashbyhq.com/mistral.ai/43b8b35d-a87d-4ebc-83db-1dfeba2b37c8) — New York, NY - [Talent Acquisition Specialist, EMEA](https://jobs.ashbyhq.com/mistral.ai/8df5ff7d-6fd1-425e-8116-113feca29129) — Paris, France - [Applied AI Engineer, Senior/Staff Fullstack Software Engineer - EMEA](https://jobs.ashbyhq.com/mistral.ai/f3eb628e-1f82-4c04-a4f2-176ead2091a1) — Paris, France - [Account Executive, AI for Citizens](https://jobs.ashbyhq.com/mistral.ai/e4ad0bcf-0c1f-4668-af5b-ea76d39a9ed9) — Paris, France - [Lead Applied AI Engineer](https://jobs.ashbyhq.com/mistral.ai/a50e295c-c615-4b72-a482-2987a4d10e91) — Seoul, South Korea - [Legal Counsel, Banking / Financing (Project finance)](https://jobs.ashbyhq.com/mistral.ai/665f13ce-685e-4eca-8aa4-76dcbd3e0765) — Paris, France - [CyberSecurity Engineer, Offensive Security](https://jobs.ashbyhq.com/mistral.ai/dcf889f0-2f46-45e6-9394-51f9b62f3fe9) — Paris, France - [Product Operations Manager](https://jobs.ashbyhq.com/mistral.ai/c210b490-302a-48c2-b1a1-2456be54a158) — Paris, France - [Recruiting Coordinator](https://jobs.ashbyhq.com/mistral.ai/a5a1436f-a5a2-4133-b217-6afc85483559) — Paris, France - [CyberSecurity Engineer, Incident Response Lead](https://jobs.ashbyhq.com/mistral.ai/9a24386e-abd6-4cd7-9583-b3fb9c2f8da5) — Paris, France - [Commercial Legal Counsel, EMEA](https://jobs.ashbyhq.com/mistral.ai/88736b27-7c50-4ec6-b4ce-51e5cc7e9e1a) — Paris, France - [AI Deployment Strategist](https://jobs.ashbyhq.com/mistral.ai/cf71adbb-c7c3-42d3-bf64-8e1283b6403f) — Munich, Germany - [Onboarding Specialist](https://jobs.ashbyhq.com/mistral.ai/deb0e225-6e51-40f9-b26a-7b34d03914c3) — Paris, France - [AI Deployment Strategist, AI4Engineering](https://jobs.ashbyhq.com/mistral.ai/f8b8ed83-d80f-4142-816e-054d23121d75) — Paris, France - [AI Deployment Strategist, Science - EMEA](https://jobs.ashbyhq.com/mistral.ai/ea944567-a5ea-4628-afa1-2c1354807a75) — Paris, France - [Technical Documentation Manager](https://jobs.ashbyhq.com/mistral.ai/4e5c6a12-46be-45a0-bb25-ea90a36a3b48) — Paris, France - [Software Engineer, Backend](https://jobs.ashbyhq.com/mistral.ai/80f8c81d-394f-4892-8f06-97a880563cc7) — New York, NY - [Legal Counsel, Patent Attorney](https://jobs.ashbyhq.com/mistral.ai/cc1f476c-046f-4fe3-98f1-49b2ea193b51) — Paris, France - [Software Engineer, DevEx](https://jobs.ashbyhq.com/mistral.ai/3a707d53-1ffd-4b0a-b7a8-114a382d93df) — Paris, France - [Enterprise Sales Leader, North America](https://jobs.ashbyhq.com/mistral.ai/9711c003-3890-46e7-a9fb-82adf061a076) — San Francisco, CA - [Applied Scientist / Domain Expert, AI4Engineering - EMEA](https://jobs.ashbyhq.com/mistral.ai/a63045ed-a193-4219-b582-efca4ee58468) — Munich, Germany - [AI Deployment Strategist](https://jobs.ashbyhq.com/mistral.ai/d8bf9485-6fc8-4dec-87b4-63c417e71c65) — Montréal, Canada - [Product Manager, Forge](https://jobs.ashbyhq.com/mistral.ai/92080bdd-4fa7-4724-beb5-4081a70a9ead) — Paris, France - [Talent Acquisition Lead](https://jobs.ashbyhq.com/mistral.ai/22de21e6-b279-4171-a362-c9cc64bdb542) — Paris, France - [Associate AI Deployment Strategist](https://jobs.ashbyhq.com/mistral.ai/c94f43a3-fde3-4028-a8ec-74d67d245860) — Paris, France - [Legal Counsel, Banking / Financing](https://jobs.ashbyhq.com/mistral.ai/82b2036e-01f0-4f2b-bf15-3c713a6f00e1) — Paris, France - [Site Reliability Engineer](https://jobs.ashbyhq.com/mistral.ai/eee4adb0-9589-4eb4-8aab-cc84cd244013) — New York, NY - [Technical Support Expert](https://jobs.ashbyhq.com/mistral.ai/38956dbe-43b3-493b-b58a-321fd6d3e46a) — San Francisco, CA - [Senior WAN & ISP Engineer](https://jobs.ashbyhq.com/mistral.ai/51f36c7f-b51f-4f88-ad1d-60d3cd013115) — Paris, France - [Software Engineer, New Grad](https://jobs.ashbyhq.com/mistral.ai/b7470435-0600-4597-a9b9-bb4ebb569283) — Paris, France - [IT Specialist, North America](https://jobs.ashbyhq.com/mistral.ai/043a53ed-c301-4180-8cd0-56252306dad1) — Palo Alto, CA - [Applied AI Engineer, CyberSecurity](https://jobs.ashbyhq.com/mistral.ai/647be1ec-19d1-421c-9c49-6bbf12c0c93a) — Paris, France - [Infrastructure Solution Architect](https://jobs.ashbyhq.com/mistral.ai/ea4ff9e5-3ccd-4eab-982c-46c1de9ade67) — Paris, France _…and 101 more at https://feeny.ai/companies/mistral/jobs_ --- _Source: https://feeny.ai/companies/mistral · profile updated 2026-07-02_