Index › IT › Products › Ollama · November 2026 Edition
4 categories · Named, not ranked

Ollama

Ollama is a tool for running large language models such as Qwen and Llama locally, on a user's own machine or on-premises infrastructure · ollama.com ↗

–Too few to rank
6/14Models named it
1First choices
4Warnings
November 2026 Edition · all company sizes counted.
Ranked inLLM gateways and observability #16 mid-marketAI coding assistants #16ML platforms #24Enterprise AI assistants #81
What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. Ollama has 9.

Why models recommend it

“PREFER: Self-hosted solutions (Ollama), open-source frameworks (Hugging Face, LangChain)”Qwen 3.7 Flash · Negative question · first choice
“Start with Ollama or LocalAI if you can run models locally (minimal ongoing costs)”Claude Haiku 4.5 · Budget-constrained question · first choice
“via tools like Ollama, Hugging Face, or enterprise platforms from vendors like NVIDIA, Red Hat, or SUSE”Grok 4.20 · Negative question · alternative
“running open-weight coding models (e.g., Qwen-Coder or DeepSeek-Coder) locally via Ollama”Gemini 3.5 Flash · Budget-constrained question · alternative

What gives them pause

“Ollama is also mentioned alongside LiteLLM as a gateway to avoid in security-sensitive environments.”Mistral Small · Negative question · warning

Also on the shortlist

The products named in the same answers as Ollama, over the 13 answers that named it, and how often each was the first choice instead.

A side-by-side page exists where both products are among a category's top eight.

At a glance

Stated on Ollama's own site, not checked by Gane.

For
people who build with open models
Visit ollama.com ↗

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named Ollama came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 10 of the 13 answers that named Ollama and are not a share of its labels.

Domains cited

arxiv.org3
gane.ai/indexpublisher (Gane)3
bsi.bund.de2
cheatsheetseries.owasp.org2
daily.dev2
lasso.security2
superblocks.com2
unite.ai2
youtube.com2
aimlapi.com1

Eighteen of the twenty-one domain citations in answers naming Ollama came from a third party's page. Three were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.

Pages cited

Pages are listed as the models cited them.

By model

How each model answered on Ollama across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.510102
GPT-5.4 mini00000
Gemini 3.5 Flash02103
Perplexity Sonar00000
Grok 4.2002002
Mistral Small00011
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash10001
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000

What it publishes

Addresses on ollama.com
112
subdomains included
Content
58
counted in the table below
Documentation
51
Product · Integration
0 · 0
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Blog5852026-08-31

Most recent

How it is countedHide how it is counted

Every page ollama.com 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. Read September 29, 2026.