ML platforms · RankedPyTorch
PyTorch is an open source deep learning framework supported by the PyTorch Foundation, the community home for the framework and its ecosystem · pytorch.org ↗
Read the same way at every company size.
The standing depends on who is buying. Every model is asked the same questions for each company size.
Google Vertex AI is first at 20%.
Databricks Mosaic AI is first at 24%.
Databricks Mosaic AI is first at 49%.
Why models recommend it
“Start with open-source frameworks (TensorFlow/PyTorch) if your team has the technical expertise”Claude Haiku 4.5 · Budget-constrained question · first choice
“If you have zero budget, go with PyTorch or TensorFlow on your own hardware.”Kimi K2 · Budget-constrained question · first choice
“tools like PyTorch + MLflow + Docker + a basic cloud VM can be the cheapest scalable option”GPT-5.4 mini · Budget-constrained question · alternative
“Frameworks: PyTorch, Scikit-Learn, or Hugging Face”Gemini 3.5 Flash · Budget-constrained question · alternative
What gives them pause
“Open-source frameworks like TensorFlow, PyTorch, and scikit-learn cost nothing to license... but it breaks down the moment you need organization-wide adoption or regulatory auditability.”Muse Glimmer 30B · Scale-constrained question · warning
Also on the shortlist
The products named in the same answers as PyTorch, over the 17 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 14 | 0 | Compare → | |
| 13 | 0 | Compare → | |
| 13 | 0 | Compare → | |
| 11 | 1 | View → | |
| 8 | 3 | View → | |
| 8 | 2 | View → | |
| 6 | 0 | Compare → | |
| 6 | 0 | View → | |
| 5 | 1 | View → | |
| 5 | 1 | Compare → |
What the models named instead of PyTorch →
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on PyTorch's own site, not checked by Gane.
- Customers named
- Amazon Advertising, Salesforce, Stanford University, Shopify, LinkedIn, IBM Research, OpenSynth, Intel
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
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 11 of the 17 answers that named PyTorch and are not a share of its labels.
Domains cited
Thirty-two of the thirty-six domain citations in answers naming PyTorch came from a third party's page. Four 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
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 0 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 0 | 1 |
| Perplexity Sonar | 0 | 1 | 1 | 0 | 2 |
| Grok 4.20 | 0 | 0 | 1 | 0 | 1 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 1 | 0 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 1 | 1 | 2 |
What it publishes
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 276 | 24 | 2026-09-23 | ||
| Comparison | 75 | 1 | 2026-07-30 | ||
| Glossary or explainer | 53 | 0 | 2019-01-16 | ||
| Conference or event | 30 | 22 | 2026-12-10 | ||
| News or press | 22 | 3 | 2026-09-16 | ||
| Report or ebook | 16 | 0 | 2023-01-01 | ||
| Template or tool | 9 | 0 | 2023-01-01 | ||
| Case study | 2 | 0 | 2023-01-01 |
Events in person
- November 6, 2026 to November 8, 2026Since AI Hackathon 2026Turku, Finland, Turku, Finland
- November 21, 2026PyTorch Day Korea 2026Seoul, Korea, Seoul, Korea, Republic of · hosts
- December 10, 2026PyTorch Day Japan 2026Tokyo, Japan · hosts
As the event pages on pytorch.org state them, read September 28, 2026.
How it is countedHide how it is counted
Every page pytorch.org 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. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.