Mistral OCRvspython-docx

How 10 AI models weigh Mistral OCR against python-docx on the 1 buying question where both came up.

Mistral OCR
4%of answers named it
python-docx
40%of answers named it
Placed higher
1–14times Mistral OCR vs python-docx, over 15 model rankings that listed either
Models leaning
0–6toward Mistral OCR vs python-docx; 4 even

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

ModelMistral OCRpython-docxPlaced higherLeans
Claude Haiku 5.513%63%0–2python-docx
GPT-6 Luna0%0%0–0Even
Gemini 4 Argon0%0%0–0Even
Qwen 3.8 Flash0%38%0–0Even
DeepSeek V4 Pro0%38%0–1python-docx
GLM-5.325%63%1–1Even
Kimi K30%63%0–3python-docx
MiniMax M30%38%0–2python-docx
Mistral Large 40%25%0–2python-docx
Nemotron 3 Ultra0%75%0–3python-docx

What the models say about Mistral OCR

One reason per model, from the shared questions

  • GLM-5.3Cheap, fast, and surprisingly accurate; strong recent option for agent document ingestion.

What the models say about python-docx

One reason per model, from the shared questions

  • Claude Haiku 5.5Simple, popular Python library for creating and editing Word documents.
  • DeepSeek V4 ProBest Python library for .docx reading and writing, simple API.
  • GLM-5.3Well-documented Python library for Excel and Word automation.
  • Kimi K3Simple, dependable Word document creation and editing for agents.
  • MiniMax M3Clean Python API for generating and editing Word documents programmatically.
  • Mistral Large 4Simple, widely adopted Python library for Word documents without Office dependencies.
  • Nemotron 3 UltraPythonic library for creating/updating Word .docx files programmatically

Tracked since October 25, 2026. Each time the panel answers these questions again, both shares are added here.

Question by question

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