Azure AI Foundry VS Llama
As of 30 October 2026, Llama is named by 386 companies and Azure AI Foundry by 784; Azure AI Foundry skews to companies under 200 people (25% vs 45%), Llama to companies over 1,000 (34% vs 48%).
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: Azure AI Foundry's script and mail records show on hundreds of thousands of small sites, Llama rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Azure AI Foundry: 2–200 employees
- 25%
- Llama: 2–200 employees
- 45%
- Azure AI Foundry: 1,000+ employees
- 48%
- Llama: 1,000+ employees
- 34%
- Postings per company, 90 days
- 3.8 · 2.9
- Website or DNS footprint
- 0 · 0
Who chooses which
Share of each tool's companies in every segment. "Leans" marks a gap of more than two points.
| Segment | Azure AI Foundry | share | Llama | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 8 | 1% | 7 | 2% | even |
| 2-10 employees | 25 | 3% | 40 | 10% | Llama |
| 11-50 employees | 59 | 8% | 69 | 18% | Llama |
| 51-200 employees | 110 | 14% | 65 | 17% | Llama |
| 201-500 employees | 107 | 14% | 44 | 11% | Azure AI Foundry |
| 501-1000 employees | 95 | 12% | 29 | 8% | Azure AI Foundry |
| 1001-5000 employees | 177 | 23% | 67 | 17% | Azure AI Foundry |
| 5001-10000 employees | 57 | 7% | 19 | 5% | Azure AI Foundry |
| 10,001+ employees | 146 | 19% | 46 | 12% | Azure AI Foundry |
| Segment | Azure AI Foundry | share | Llama | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 315 | 40% | 235 | 61% | Llama |
| Business & finance services | 200 | 26% | 69 | 18% | Azure AI Foundry |
| Manufacturing & industry | 91 | 12% | 25 | 6% | Azure AI Foundry |
| Utilities & infrastructure | 36 | 5% | 10 | 3% | Azure AI Foundry |
| Commerce & trade | 24 | 3% | 5 | 1% | even |
| Property & construction | 24 | 3% | 3 | 1% | Azure AI Foundry |
| Health care | 19 | 2% | 3 | 1% | even |
| Media & content | 15 | 2% | 11 | 3% | even |
| Public, community & associations | 13 | 2% | 9 | 2% | even |
| Transport, logistics & rental | 13 | 2% | 3 | 1% | even |
| Consumer services & leisure | 12 | 2% | 9 | 2% | even |
| Automotive | 10 | 1% | 2 | 1% | even |
| Segment | Azure AI Foundry | share | Llama | share | Leans |
|---|---|---|---|---|---|
| United States | 401 | 51% | 232 | 60% | Llama |
| United Kingdom | 63 | 8% | 31 | 8% | even |
| Germany | 61 | 8% | 12 | 3% | Azure AI Foundry |
| Australia | 28 | 4% | 6 | 2% | Azure AI Foundry |
| Canada | 25 | 3% | 6 | 2% | even |
| Netherlands | 22 | 3% | 4 | 1% | even |
| France | 21 | 3% | 10 | 3% | even |
| Switzerland | 15 | 2% | 5 | 1% | even |
| India | 13 | 2% | 25 | 6% | Llama |
| Belgium | 12 | 2% | – | – | outside top 12 |
| Brazil | 12 | 2% | – | – | outside top 12 |
| Poland | 12 | 2% | – | – | outside top 12 |
| Singapore | – | – | 11 | 3% | outside top 12 |
| Spain | – | – | 7 | 2% | outside top 12 |
| United Arab Emirates | – | – | 3 | 1% | outside top 12 |
| Segment | Azure AI Foundry | share | Llama | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 1,473 | 44% | 932 | 64% | Llama |
| Software engineering | 641 | 19% | 205 | 14% | Azure AI Foundry |
| IT operations & business systems | 522 | 16% | 46 | 3% | Azure AI Foundry |
| Product, program & project management | 111 | 3% | 14 | 1% | Azure AI Foundry |
| Sales | 86 | 3% | 16 | 1% | even |
| General management & consulting | 60 | 2% | 22 | 2% | even |
| Engineering (non-software) | 18 | 1% | 20 | 1% | even |
| Logistics warehouse and transport | 8 | 0% | – | – | outside top 12 |
| Business development & strategy | 7 | 0% | – | – | outside top 12 |
| Construction and civil | 6 | 0% | – | – | outside top 12 |
| Finance & accounting | 6 | 0% | – | – | outside top 12 |
| Education & training | 3 | 0% | 3 | 0% | even |
| Marketing & communications | – | – | 9 | 1% | outside top 12 |
| Customer service & success | – | – | 7 | 0% | outside top 12 |
| Research and science | – | – | 6 | 0% | outside top 12 |
| Design & UX | – | – | 4 | 0% | outside top 12 |
The companies behind each column
Companies using Azure AI Foundry →
Companies using Llama →
LLM models & APIs ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Llama is named by 386 companies in job postings and Azure AI Foundry by 784; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/azure-ai-foundry-vs-llama)
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.
Azure AI Foundry vs Llama: questions
Which is more used, Azure AI Foundry or Llama?
By companies naming it in their own job postings, Azure AI Foundry (784) over Llama (386). By website-and-DNS footprint, Llama (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Azure AI Foundry?
25% of Azure AI Foundry companies have 2 to 200 employees, against 45% for Llama. 48% of Azure AI Foundry companies have over 1,000 employees, against 34% for Llama.
Do companies run both?
0 companies name both in their postings, usually Azure AI Foundry in marketing and Llama 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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