Llama VS Mistral AI
As of 30 October 2026, Mistral AI is named by 248 companies and Llama by 386; Llama skews to companies under 200 people (45% vs 44%), Mistral AI to companies over 1,000 (33% vs 34%).
As of 30 October 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
The website-and-DNS footprint is not comparable between a marketing suite and a CRM: Llama's script and mail records show on hundreds of thousands of small sites, Mistral AI rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Llama: 2–200 employees
- 45%
- Mistral AI: 2–200 employees
- 44%
- Llama: 1,000+ employees
- 34%
- Mistral AI: 1,000+ employees
- 33%
- Postings per company, 90 days
- 2.9 · 2.6
- Website or DNS footprint
- 0 · 2,564
Who chooses which
Share of each tool's companies in every segment. "Leans" marks a gap of more than two points.
| Segment | Llama | share | Mistral AI | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 7 | 2% | 6 | 2% | even |
| 2-10 employees | 40 | 10% | 24 | 10% | even |
| 11-50 employees | 69 | 18% | 40 | 16% | even |
| 51-200 employees | 65 | 17% | 45 | 18% | even |
| 201-500 employees | 44 | 11% | 30 | 12% | even |
| 501-1000 employees | 29 | 8% | 22 | 9% | even |
| 1001-5000 employees | 67 | 17% | 42 | 17% | even |
| 5001-10000 employees | 19 | 5% | 13 | 5% | even |
| 10,001+ employees | 46 | 12% | 26 | 10% | even |
| Segment | Llama | share | Mistral AI | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 235 | 61% | 149 | 60% | even |
| Business & finance services | 69 | 18% | 59 | 24% | Mistral AI |
| Manufacturing & industry | 25 | 6% | 8 | 3% | Llama |
| Media & content | 11 | 3% | 5 | 2% | even |
| Utilities & infrastructure | 10 | 3% | 6 | 2% | even |
| Public, community & associations | 9 | 2% | 4 | 2% | even |
| Consumer services & leisure | 9 | 2% | 3 | 1% | even |
| Commerce & trade | 5 | 1% | 2 | 1% | even |
| Health care | 3 | 1% | 4 | 2% | even |
| Property & construction | 3 | 1% | 3 | 1% | even |
| Transport, logistics & rental | 3 | 1% | 2 | 1% | even |
| Automotive | 2 | 1% | 2 | 1% | even |
| Segment | Llama | share | Mistral AI | share | Leans |
|---|---|---|---|---|---|
| United States | 232 | 60% | 126 | 51% | Llama |
| United Kingdom | 31 | 8% | 21 | 8% | even |
| India | 25 | 6% | 16 | 6% | even |
| Germany | 12 | 3% | 10 | 4% | even |
| Singapore | 11 | 3% | – | – | outside top 12 |
| France | 10 | 3% | 39 | 16% | Mistral AI |
| Spain | 7 | 2% | 4 | 2% | even |
| Australia | 6 | 2% | 2 | 1% | even |
| Canada | 6 | 2% | 2 | 1% | even |
| Switzerland | 5 | 1% | 5 | 2% | even |
| Netherlands | 4 | 1% | – | – | outside top 12 |
| United Arab Emirates | 3 | 1% | 1 | 0% | even |
| Belgium | – | – | 2 | 1% | outside top 12 |
| Slovakia | – | – | 2 | 1% | outside top 12 |
| Segment | Llama | share | Mistral AI | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 932 | 64% | 621 | 66% | Mistral AI |
| Software engineering | 205 | 14% | 100 | 11% | Llama |
| IT operations & business systems | 46 | 3% | 33 | 3% | even |
| General management & consulting | 22 | 2% | 20 | 2% | even |
| Engineering (non-software) | 20 | 1% | 20 | 2% | even |
| Sales | 16 | 1% | 8 | 1% | even |
| Product, program & project management | 14 | 1% | 16 | 2% | even |
| Marketing & communications | 9 | 1% | 4 | 0% | even |
| Customer service & success | 7 | 0% | – | – | outside top 12 |
| Research and science | 6 | 0% | 3 | 0% | even |
| Design & UX | 4 | 0% | 3 | 0% | even |
| Education & training | 3 | 0% | – | – | outside top 12 |
| Construction and civil | – | – | 8 | 1% | outside top 12 |
| Human resources | – | – | 3 | 0% | outside top 12 |
The companies behind each column
Companies using Llama →
Companies using Mistral AI →
LLM models & APIs ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Mistral AI is named by 248 companies in job postings and Llama by 386; 342 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/llama-vs-mistral-ai)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- Job postingsRead hourly from career sites. A tool counts when the employer's own text names it as the team's system; both tools can count for one company.
- Website and DNSScripts and embeds on the company's pages, plus SPF, DKIM, MX and CNAME records of its domain that point at the vendor.
- SegmentsCountry, size and industry from the company profile built from its website.
- Not a reviewNo ratings, prices or feature claims. For those, read the vendors.
Llama vs Mistral AI: questions
Which is more used, Llama or Mistral AI?
By companies naming it in their own job postings, Llama (386) over Mistral AI (248). By website-and-DNS footprint, Mistral AI (2,564 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Llama?
45% of Llama companies have 2 to 200 employees, against 44% for Mistral AI. 34% of Llama companies have over 1,000 employees, against 33% for Mistral AI.
Do companies run both?
342 companies name both in their postings, usually Llama in marketing and Mistral AI in sales, or during a migration.
Where do these numbers come from?
From the employer's own text in job postings read hourly from career sites, and from scripts found on company websites in our crawl. No vendor data, no surveys.
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