Does every AI task really need a frontier model?
Discover where Mistral can deliver the right level of intelligence, economics, deployment flexibility and sovereignty for your client’s AI workload.
What is Mistral Navigator?
Mistral Navigator is an EY–Mistral guided advisor that helps you understand Mistral’s capabilities and connect them to client challenges & priorities, transformation opportunities and relevant EY propositions that you can take to market.
Why the enterprise AI conversation has moved from capability to cost, control and adaptability; what each model in the Mistral line-up is designed for; and why the smallest model that reliably performs the task is usually the right recommendation. The Navigator is equally clear about where a frontier model is the better answer.
Why Mistral?Start with the journey that matters: Solve a business challenge, Build an AI capability, Control AI deployment, or Run intelligence at scale through a managed service. Navigate from there through relevant client scenarios, sector priorities and use cases.
Choose your journeyUnderstand the EY service offerings and who to engage next to shape the detailed client proposition — from EY–Mistral alliance leaders to solution specialists. Move from the initial conversation to a qualified opportunity and an actionable pursuit.
How EY can help?Prepared for EY partners and solution pursuit leads. For internal education purposes only. Confirm model availability, deployment options and commercial terms before use with a client.
What are you looking to…
Finish the sentence. Each one reorders the Navigator map below around the stops that matter for that journey.
Your EY × Mistral contacts
Reach out for pursuit support, demos, architecture and fine-tuning questions.
Who are you having the AI conversation with?
Start with the executive’s priorities, not the technology.
Let’s find out what the AI task actually needs.
Don’t start with the model. Start with the workload.
Know your Mistral. Meet the line-up.
Drag, swipe or use the arrows to spin. Tap a block to see what it’s for.
Which one do I need?
Pick a job and the explorer spins to the best starting point.
The deployment spectrum
Where a Mistral model can actually run — and why it decides which client conversations are even possible. Most providers cover the left of this line. Open weights cover all of it.
Mistral at a glance
Sources: Mistral and TechCrunch (Series D, 8 Sept 2026); Mistral product pages. Check the latest before client use.
Myth or reality? Tap to flip
Three things clients believe about Mistral, and what is actually true.
Line-up as published by Mistral, September 2026. Le Chat is now Mistral Vibe. Magistral reasoning and Pixtral vision now live inside Mistral Small 4. Confirm licences and regional availability before client commitments.
Can your client control where their AI actually runs?
Answer all three and Mistral belongs in the conversation. Answer none and a frontier model is the better recommendation — this page will say so.
The short answer
Three guarantees that arrive as one line-up, not three separate procurements.
01Why this conversation, now
Three shifts that changed what clients are actually asking for — and what they are no longer impressed by.
It is the right answer when the work has to run somewhere specific, when cost per task decides whether the use case is viable, or when the client needs a model they can retain, inspect and tune on their own data. Where none of that applies, a frontier model is the better recommendation — and the client journey in this Navigator will say so.
02The Mistral difference
Choose a pillar. The diagram below builds itself around it.
03When to position Mistral — and when not to
Toggle the factors that are live on your account. The verdict and the talk track build themselves — including the verdict that says to recommend someone else.
Your AI. Your data. Your control.
Open weights, deployable inside your perimeter, and fine-tuned on your own data on your own infrastructure — with EY to take it from a conversation to production.
What Mistral has publicly deployed, by sector.
Announced deployments only, drawn from the client’s or Mistral’s own statements. Each entry carries its source, and an outcome figure appears only where one was published. Nothing here is modelled, extrapolated or estimated.
Public references, gathered from company announcements. Confirm currency and detail with the alliance team before using any of this with a client.
Where does your client’s AI actually run?
Sovereignty is a deliberate design choice across every layer of the AI stack — not a hosting decision. Set the posture first, then see where it has to be designed in.
01Sovereign posture: how far do you want to go?
Start with the decision, not the diagram. Sovereignty is a dial, not a switch — turn it to see what each posture means at the Infrastructure, Models, Data and Application layers, and how EY and Mistral help.
Most organisations sit at different postures for different layers. That combination is the architecture conversation.
02Five layers, five pillars
Where the posture you just set has to be designed in. Each layer carries its own sovereignty decision, and the five pillars frame all of them.
03Did you know? Sovereign AI and the law
Three regulations in Europe and three elsewhere that shape where AI can run and who controls it. Tap to flip.
Summaries for education only, not legal advice. EU AI Act dates reflect the Digital Omnibus on AI, Regulation (EU) 2026/1744, in force since 27 July 2026.
How well do you know Mistral?
Ten quick questions. Every answer unlocks a fact you can use in your next client conversation.
Warm up: test your instincts
Three quick rounds, one per theme. Tap what you think, then reveal our take.