Azure OpenAI VS Llama
As of 30 October 2026, Llama is named by 386 companies and Azure OpenAI by 1,155; Azure OpenAI skews to companies under 200 people (29% vs 45%), Llama to companies over 1,000 (34% vs 47%).
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 OpenAI'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 OpenAI: 2–200 employees
- 29%
- Llama: 2–200 employees
- 45%
- Azure OpenAI: 1,000+ employees
- 47%
- Llama: 1,000+ employees
- 34%
- Postings per company, 90 days
- 3.2 · 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 OpenAI | share | Llama | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 11 | 1% | 7 | 2% | even |
| 2-10 employees | 54 | 5% | 40 | 10% | Llama |
| 11-50 employees | 116 | 10% | 69 | 18% | Llama |
| 51-200 employees | 163 | 14% | 65 | 17% | Llama |
| 201-500 employees | 156 | 14% | 44 | 11% | Azure OpenAI |
| 501-1000 employees | 111 | 10% | 29 | 8% | Azure OpenAI |
| 1001-5000 employees | 234 | 20% | 67 | 17% | Azure OpenAI |
| 5001-10000 employees | 75 | 6% | 19 | 5% | even |
| 10,001+ employees | 235 | 20% | 46 | 12% | Azure OpenAI |
| Segment | Azure OpenAI | share | Llama | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 508 | 44% | 235 | 61% | Llama |
| Business & finance services | 301 | 26% | 69 | 18% | Azure OpenAI |
| Manufacturing & industry | 119 | 10% | 25 | 6% | Azure OpenAI |
| Utilities & infrastructure | 43 | 4% | 10 | 3% | even |
| Commerce & trade | 40 | 3% | 5 | 1% | Azure OpenAI |
| Media & content | 24 | 2% | 11 | 3% | even |
| Property & construction | 23 | 2% | 3 | 1% | even |
| Public, community & associations | 22 | 2% | 9 | 2% | even |
| Consumer services & leisure | 21 | 2% | 9 | 2% | even |
| Health care | 20 | 2% | 3 | 1% | even |
| Transport, logistics & rental | 13 | 1% | 3 | 1% | even |
| Automotive | 12 | 1% | 2 | 1% | even |
| Segment | Azure OpenAI | share | Llama | share | Leans |
|---|---|---|---|---|---|
| United States | 668 | 58% | 232 | 60% | Llama |
| United Kingdom | 89 | 8% | 31 | 8% | even |
| Germany | 70 | 6% | 12 | 3% | Azure OpenAI |
| Australia | 33 | 3% | 6 | 2% | even |
| India | 32 | 3% | 25 | 6% | Llama |
| France | 31 | 3% | 10 | 3% | even |
| Canada | 26 | 2% | 6 | 2% | even |
| Netherlands | 21 | 2% | 4 | 1% | even |
| Singapore | 18 | 2% | 11 | 3% | even |
| Brazil | 16 | 1% | – | – | outside top 12 |
| Spain | 12 | 1% | 7 | 2% | even |
| Sweden | 12 | 1% | – | – | outside top 12 |
| Switzerland | – | – | 5 | 1% | outside top 12 |
| United Arab Emirates | – | – | 3 | 1% | outside top 12 |
| Segment | Azure OpenAI | share | Llama | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 2,095 | 48% | 932 | 64% | Llama |
| Software engineering | 966 | 22% | 205 | 14% | Azure OpenAI |
| IT operations & business systems | 424 | 10% | 46 | 3% | Azure OpenAI |
| Sales | 82 | 2% | 16 | 1% | even |
| Product, program & project management | 74 | 2% | 14 | 1% | even |
| General management & consulting | 70 | 2% | 22 | 2% | even |
| Engineering (non-software) | 31 | 1% | 20 | 1% | even |
| Construction and civil | 11 | 0% | – | – | outside top 12 |
| Business development & strategy | 8 | 0% | – | – | outside top 12 |
| Design & UX | 6 | 0% | 4 | 0% | even |
| Finance & accounting | 6 | 0% | – | – | outside top 12 |
| Marketing & communications | 5 | 0% | 9 | 1% | even |
| Customer service & success | – | – | 7 | 0% | outside top 12 |
| Research and science | – | – | 6 | 0% | outside top 12 |
| Education & training | – | – | 3 | 0% | outside top 12 |
The companies behind each column
Companies using Azure OpenAI →
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 OpenAI by 1,155; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/azure-openai-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 OpenAI vs Llama: questions
Which is more used, Azure OpenAI or Llama?
By companies naming it in their own job postings, Azure OpenAI (1,155) 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 OpenAI?
29% of Azure OpenAI companies have 2 to 200 employees, against 45% for Llama. 47% of Azure OpenAI companies have over 1,000 employees, against 34% for Llama.
Do companies run both?
0 companies name both in their postings, usually Azure OpenAI 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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