Financial modeling and scenario planning · Named, not 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 ↗
Named, too few times to rank.
A product needs 10 labels in a category before a share is stated. PyTorch has 1.
Why models recommend it
No positive label carried a quote.
What gives them pause
No model argued against it.
Also on the shortlist
The products named in the same answers as PyTorch, over the 1 answer that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 1 | 0 | View → | |
| 1 | 0 | View → | |
| 1 | 0 | View → | |
| 1 | 0 | View → | |
| 1 | 0 | View → | |
| 1 | 0 | View → | |
| 1 | 0 | View → | |
| 1 | 0 | View → | |
| 1 | 0 | View → | |
| 1 | 0 | View → |
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 →By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 1 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| 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 | 0 | 0 | 0 | 0 | 0 |
| 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 | 0 | 0 | 0 |
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.