# PyTorch: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 10 judge labels across 1 category by 8 of 14 models. Page: https://www.gane.ai/index/it/vendors/pytorch

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [ML platforms](https://www.gane.ai/index/it/it-data/ml-platforms/index.md) | 3% | 9 | 10% | 10 |

## What the models said for it

- "Start with open-source frameworks (TensorFlow/PyTorch) if your team has the technical expertise" (Claude Haiku 4.5, ML platforms)
- "If you have zero budget, go with PyTorch or TensorFlow on your own hardware." (Kimi K2, ML platforms)
- "tools like PyTorch + MLflow + Docker + a basic cloud VM can be the cheapest scalable option" (GPT-5.4 mini, ML platforms)
- "Frameworks: PyTorch, Scikit-Learn, or Hugging Face" (Gemini 3.5 Flash, ML platforms)

## And against it

- "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, ML platforms)

## 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 |

## Sources returned with these answers

The sites and pages cited by the answers that named PyTorch, from 11 of the 17 answers that named it (only the models that return a source list).

### Domains cited

- g2.com: 7
- spotsaas.com: 5
- gane.ai/index: 4
- rankite.com: 4
- ciopages.com: 3
- eweek.com: 3
- learn.g2.com: 3
- linkedin.com: 3
- clickup.com: 2
- comidor.com: 2

### Pages cited

- https://spotsaas.com/list/data-science-and-machine-learning-platforms/for-small-business: 4
- https://ciopages.com/buyer-guides/ai-ml-platform: 3
- https://g2.com/categories/machine-learning/small-business: 3
- https://www.gane.ai/index/it/it-data/ml-platforms/smb: 3
- https://learn.g2.com/best-machine-learning-tools: 3
- https://spotsaas.com/list/machine-learning-software/for-small-business: 3
- https://clickup.com/blog/machine-learning-tools: 2
- https://comidor.com/news/industry-news/machine-learning-platforms: 2

## In its own words

What PyTorch's own pages state, read 2026-09-28. Stated by the vendor, not checked by the index.

- Positioning: PyTorch Foundation is the deep learning community home for the open source PyTorch framework and ecosystem. (https://pytorch.org/)
- Customers named: Amazon Advertising, Salesforce, Stanford University, Shopify, LinkedIn, IBM Research, OpenSynth, Intel

## What it publishes

Every page pytorch.org exposes, read 2026-09-29: 10522 addresses. By kind, pages and the last 90 days:

- blog: 276 pages, 24 in the last 90 days, latest 2026-09-23
- case study: 2 pages, 0 in the last 90 days, latest 2023-01-01
- conference or event: 30 pages, 22 in the last 90 days, latest 2026-12-10
- report or ebook: 16 pages, 0 in the last 90 days, latest 2023-01-01
- comparison: 75 pages, 1 in the last 90 days, latest 2026-07-30
- template or tool: 9 pages, 0 in the last 90 days, latest 2023-01-01
- glossary or explainer: 53 pages, 0 in the last 90 days, latest 2019-01-16
- news or press: 22 pages, 3 in the last 90 days, latest 2026-09-16
- Recent: 2026-12-10 conference or event: Pytorch day japan 2026 https://pytorch.org/event/pytorch-day-japan-2026/
- Recent: 2026-12-06 conference or event: Neurips 2026 https://pytorch.org/event/neurips-2026/
- Recent: 2026-11-30 conference or event: Nvidia gtc washington dc https://pytorch.org/event/nvidia-gtc-washington-dc/
- Recent: 2026-11-21 conference or event: Pytorch day korea 2026 https://pytorch.org/event/pytorch-day-korea-2026/
- Recent: 2026-11-06 conference or event: Since ai hackathon 2026 https://pytorch.org/event/since-ai-hackathon-2026/
- Recent: 2026-10-20 conference or event: Pytorch conference 2026 https://pytorch.org/event/pytorch-conference-2026/

## Record

- Method: https://www.gane.ai/index/it/methodology
- License: CC BY 4.0. Cite as Gane Index, November 2026 Edition, www.gane.ai/index/it.