# PyTorch: how AI models rank it, September 2026

IT AI Recommendation Index, September 2026 Edition. Named in 8 judge labels across 1 categories by 5 of 12 models. Page: https://it-ai-index.com/vendors/pytorch/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| ML platforms | 0% | 21 | 0% | 8 |

## What the models said for it

- "Combine open-source libraries (PyTorch, TensorFlow, scikit-learn) with a notebook environment" (GLM 4.7 FlashX, ML platforms)
- "Use open-source tools (PyTorch + MLflow) on Google Vertex AI with spot GPUs." (DeepSeek V4 Flash, ML platforms)
- "Choose PyTorch for research, experimentation, and cutting-edge deep learning" (Kimi K2, ML platforms)
- "PyTorch - Meta's open-source ML framework, free and widely used" (Claude Haiku 4.5, ML platforms)

## Record

- Method: https://it-ai-index.com/methodology/
- Raw judge labels and full responses: https://it-ai-index.com/data/
- License: CC BY 4.0. Cite as IT AI Recommendation Index, September 2026 Edition, it-ai-index.com.