IT AI Index

Index › Vendors › Ollama · September 2026 Edition

2 categories · Named, not ranked

Ollama

6Judge labels

0First choices

2Negative labels

6 of 12Models named it

2Categories

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.

Standing

4 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Ollama was named 4 times in AI coding and 1 other category, where GitHub Copilot led with 67%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business25 of 45

under the label threshold

Mid-market18 of 46

under the label threshold

Enterprise27 of 47

under the label threshold

In ai coding · 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 Ollama 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.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
AI coding assistants	Developer platform	0%	18 of 46	0%	2	under 10 labels · led by GitHub Copilot at 67%
LLM gateways and observability	Data platform	0%	63 of 63	100%	2	under 10 labels · led by LiteLLM at 38%

Movement

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

By model

How each model treated Ollama across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Alternative	Negative	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	1	0	1
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	1	1
Mistral Small	0	1	1
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	1	0	1
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	0	0	0

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

Direct0 labelsNone

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained2 labelsNone

Scale-constrained0 labelsNone

Negative4 labelsNone

First choiceAlternativeMentionNegative6 labels in all, every segment counted; 0 of the 0 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.

“you can run models locally using Ollama” Gemini 3.5 Flash · AI coding · budget prompt · alternative

“Ollama + code extensions” Kimi K2 · AI coding · negative prompt · alternative

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.

“~175,000 public servers across 130 countries (2026 scans), many unauthenticated. CVE-2026-7482 ("Bleeding Llama," CVSS 9.1) allows memory leaks” Grok 4.1 Fast · LLM gateways · negative prompt · hard negative

“there are 175,000 publicly accessible Ollama hosts across 130 countries, and attackers are actively probing these endpoints” Mistral Small · LLM gateways · negative prompt · soft negative

Named alongside

The products named in the same answers as Ollama, over the 6 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Ollama was named but was not.

ProductSame answerTook the first choice insteadHead to head

GitHub Copilot4 of 61Not in the top three

Cursor4 of 60Not in the top three

Continue3 of 60Not in the top three

Windsurf3 of 60Not in the top three

Portkey2 of 61Not in the top three

Tabnine2 of 61Not in the top three

LiteLLM2 of 60Not in the top three

OpenRouter2 of 60Not in the top three

Bifrost1 of 61Not in the top three

Cline1 of 61Not in the top three

A head-to-head page exists where both products are in a category's top three. 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 Ollama. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 4 of the 6 answers that named Ollama and are not a share of its labels.

Domains cited

dev.to3

nhimg.org3

anomity.ai2

arxiv.org2

augmentcode.com2

bsi.bund.de2

checkmarx.com2

cloudzero.com2

github.com2

labs.cloudsecurityalliance.org2

Twenty-two of the twenty-two domain citations in answers naming Ollama came from somebody else's page.

Pages cited

anomity.ai/blog/securing-llm-gateways-and-proxies2

bsi.bund.de/SharedDocs/Downloads/EN/BSI/KI/ANSSI_BSI_AI_Coding_Assistants.pdf2

cloudzero.com/blog/llm-gateways2

dev.to/varshithvhegde/top-5-llm-gateways-in-2026-a-deep-dive-comparison-for-production-tea2

github.com/orgs/community/discussions/1884882

langfuse.com/resources/engineering/llm-gateway2

tigera.io/learn/guides/llm-security/llm-gateway2

wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2026-0056.pdf2

Pages are listed as the models cited 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 Ollama'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 Ollama, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at ollama.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.