ExcelWritervsopenpyxl

How 10 AI models weigh ExcelWriter against openpyxl on the 1 buying question where both came up.

ExcelWriter
1%of answers named it
openpyxl
100%of answers named it
Placed higher
0–40times ExcelWriter vs openpyxl, over 40 model rankings that listed either
Models leaning
0–10toward ExcelWriter vs openpyxl

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 1 shared question, every wording

ModelExcelWriteropenpyxlPlaced higherLeans
Claude Haiku 5.50%100%0–4openpyxl
GPT-6 Luna0%100%0–4openpyxl
Gemini 4 Argon0%100%0–4openpyxl
Qwen 3.8 Flash0%100%0–4openpyxl
DeepSeek V4.1 Flash0%100%0–4openpyxl
GLM-5.30%100%0–4openpyxl
Kimi K30%100%0–4openpyxl
MiniMax M30%100%0–4openpyxl
Mistral Large 40%100%0–4openpyxl
Nemotron 3.5 Super VL13%100%0–4openpyxl

What the models say about ExcelWriter

One reason per model, from the shared questions

No reasons given.

What the models say about openpyxl

One reason per model, from the shared questions

  • Claude Haiku 5.5Most popular pure-Python library for reading and editing xlsx files with formatting.
  • GPT-6 LunaBest general-purpose choice for reading and editing modern .xlsx files with a clear, mature API.
  • Gemini 4 ArgonThe gold standard for comprehensive reading, editing, and formatting of modern xlsx files.
  • Qwen 3.8 FlashDe facto standard for reading and writing .xlsx files in Python.
  • DeepSeek V4.1 FlashThe default: reads and writes xlsx with full styling control.
  • GLM-5.3Best-in-class engine for reading/writing xlsx with rich formatting and performance.
  • Kimi K3The gold standard for full xlsx read/write control without Excel installed.
  • MiniMax M3De facto standard for reading/writing modern .xlsx files.
  • Mistral Large 4The go-to standard for reading and writing .xlsx files in pure Python.
  • Nemotron 3.5 Super VLStandard for reading/writing .xlsx with formatting and formulas

Over time

Share of answers that named each, on the questions where both came up, each time the panel answered

Panel runExcelWriteropenpyxl
October 26, 20261%100%
October 25, 20260%100%

Question by question

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