AI Indexes
IT AI Index
Index › Products › Mistral · October 2026 Edition
1 category · Named, not ranked

Mistral

4Judge labels
0First choices
2Negative labels
3 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Standing
1 label, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Mistral was named 1 time in Enterprise AI, where ChatGPT led with 25%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small businessnot named
0%
No model named it for this buyer.
Mid-market41 of 145
0%1 label
under the label threshold
Enterprise112 of 132
0%2 labels
under the label threshold
In enterprise ai · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Mistral for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Enterprise AI assistantsData platform0%41 of 1450%1under 10 labels · led by ChatGPT at 25%

Movement

This is the first edition on this tier, so no move can be computed for Mistral yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Mistral across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00000
DeepSeek V4 Flash10001
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct1 labelNone
Paraphrase0 labelsNone
Comparative0 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative3 labels1not counted in share
First choiceAlternativeMentionNegative4 labels in all, every segment counted; 0 of the 1 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“consistently ranks as the most privacy-respecting major platform” DeepSeek V4 Flash · Enterprise AI · negative prompt · first choice

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as Mistral, over the 4 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Mistral was named but was not.
ShowHide
ProductSame answerTook the first choice insteadHead to head
ChatGPT3 of 40Not among the top eight
Claude3 of 40Not among the top eight
Microsoft 365 Copilot3 of 40Not among the top eight
DeepSeek2 of 40Not among the top eight
Google Gemini2 of 40Not among the top eight
Glean1 of 41Not among the top eight
Amazon SageMaker1 of 40Not among the top eight
Anthropic1 of 40Not among the top eight
Azure Machine Learning1 of 40Not among the top eight
Claude for Business1 of 40Not among the top eight
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Mistral. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 4 of the 4 answers that named Mistral and are not a share of its labels.

Domains cited

intuitionlabs.ai2
aitoolguide.ai1
akamai.com1
app-lab.ai1
aricoma.com1
arxiv.org1
blog.incogni.com1
blog.synapticlabs.ai1
boawebai.com1
captaincompliance.com1

Eleven of the eleven domain citations in answers naming Mistral came from somebody else's page.

Pages cited

intuitionlabs.ai/articles/enterprise-ai-assistants-comparison2
aitoolguide.ai/blog/best-enterprise-ai-assistants-20261
akamai.com/site/en/documents/state-of-the-internet/2026/enterprise-ai-risk-report.pdf1
app-lab.ai/blog/ai-vendor-lock-in1
aricoma.com/solutions/enterprise-applications/artificial-intelligence-and-big-data/ai-assi1
arxiv.org/pdf/2510.115581
blog.incogni.com/ai-llm-privacy-ranking-20251
blog.synapticlabs.ai/6-ai-pitfalls-sabotaging-small-business-how-to-avoid1

Pages are listed as the models cited them.

What it publishes

ShowHide
Addresses on mistral.ai
1,499
subdomains included
Content
141
counted in the table below
Documentation
464
Product · Integration
10 · 0
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
News or press88122026-09-28
Case study4222026-07-28
Conference or event402026-05-28
Podcast or video412026-07-07
Blog102026-05-15
Webinar or virtual event1undated
Glossary or explainer1undated

Most recent

How it is countedHide how it is counted

Every page mistral.ai exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.

Names read as Mistral

What the judge wrote, as written, with how often. The vendor table decides that these count as Mistral; a claim can dispute any of them.
Mistral Enterprise / Le Chat 1

Follow Mistral

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

Mistral is its own company.
ShowHide

In its own words

Stated by the vendor, not checked
Positioning
Mistral is #1 in Sovereign AI.
mistral.ai
For
organizations
mistral.ai
Price stated
Pricing mistral.ai
Starting price
Free mistral.ai/pricing
Free plan or trial
Free plan mistral.ai/pricing
Integrations claimed
100 mistral.ai/pricing
Certifications
ISO 27001ISO 27701SOC 2 Type II
Hosting
SwedenNorwayNetherlandsBelgiumUnited States (US API endpoint)FranceEEAEurope
Customers named
TotalEnergiesASMLAirbusBNP ParibasNATOEuropean Patent OfficeHTXHSBC

What Mistral's own pages state, read October 6, 2026: mistral.ai, mistral.ai/pricing, trust.mistral.ai, mistral.ai/products, mistral.ai/customers. A claimed page can correct any of them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Mistral's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Mistral, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Mistral by email, built from the raw record of the edition. It shows:

  • where Mistral is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name Mistral, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.
The subscriber app

A verification link goes to your work email; an address at mistral.ai is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.