python-docxvsReportLab

How 10 AI models weigh python-docx against ReportLab on the 2 buying questions where both came up.

python-docx
56%of answers named it
ReportLab
10%of answers named it
Placed higher
45–7times python-docx vs ReportLab, over 52 model rankings that listed either
Models leaning
10–0toward python-docx vs ReportLab

Which models prefer which

Share of each model's answers that named each product, and how often its ranking put one above the other (a product listed beats one left off) · On the 2 shared questions, every wording

Modelpython-docxReportLabPlaced higherLeans
Claude Haiku 5.550%0%4–0python-docx
GPT-6 Luna50%0%4–0python-docx
Gemini 4 Argon50%0%4–0python-docx
Qwen 3.8 Flash63%0%5–0python-docx
DeepSeek V4.1 Flash56%6%4–0python-docx
GLM-5.350%19%4–1python-docx
Kimi K375%0%7–0python-docx
MiniMax M356%0%5–0python-docx
Mistral Large 450%50%4–3python-docx
Nemotron 3.5 Super VL56%25%4–3python-docx

What the models say about python-docx

One reason per model, from the shared questions

  • Claude Haiku 5.5The standard library for creating and editing .docx files; mature and widely used.
  • GPT-6 LunaBest general-purpose choice for creating and editing .docx files with a clean, approachable API.
  • Gemini 4 ArgonThe de facto standard for creating and modifying Word documents in Python.
  • Qwen 3.8 FlashDe facto standard; broadest API for creating and editing Word documents.
  • DeepSeek V4.1 FlashThe de facto standard for reading and writing .docx files; broad, reliable, well documented.
  • GLM-5.3The de facto standard for creating and editing .docx files.
  • Kimi K3The standard library for creating and editing Word documents in Python.
  • MiniMax M3De facto standard, actively maintained, and extremely reliable for .docx files.
  • Mistral Large 4Official, stable, and perfect for basic Word document creation and editing.
  • Nemotron 3.5 Super VLStandard library for reading, writing, and editing .docx files in Python

What the models say about ReportLab

One reason per model, from the shared questions

Question by question

Share of all answers that named each, every wording pooled, with its place among every product named · Both-named questions first