LlamaParsevspython-docx
How 10 AI models weigh LlamaParse against python-docx on the 1 buying question where both came up.
- LlamaParse
- 26%of answers named it
- python-docx
- 40%of answers named it
- Placed higher
- 13–13times LlamaParse vs python-docx, over 26 model rankings that listed either
- Models leaning
- 4–4toward LlamaParse vs python-docx; 2 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
| Model | LlamaParse | python-docx | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 25% | 63% | 1–2 | python-docx |
| GPT-6 Luna | 13% | 0% | 1–0 | LlamaParse |
| Gemini 4 Argon | 63% | 0% | 3–0 | LlamaParse |
| Qwen 3.8 Flash | 13% | 38% | 1–0 | LlamaParse |
| DeepSeek V4 Pro | 25% | 38% | 1–1 | Even |
| GLM-5.3 | 50% | 63% | 2–1 | LlamaParse |
| Kimi K3 | 38% | 63% | 2–2 | Even |
| MiniMax M3 | 13% | 38% | 1–2 | python-docx |
| Mistral Large 4 | 25% | 25% | 1–2 | python-docx |
| Nemotron 3 Ultra | 0% | 75% | 0–3 | python-docx |
What the models say about LlamaParse
One reason per model, from the shared questions
- Claude Haiku 5.5
Strong LLM-oriented PDF parsing that handles complex layouts and tables
- GPT-6 Luna
Strong OCR, tables, and layout extraction; practical multimodal parsing for agent-ready document ingestion.
- Gemini 4 Argon
Purpose-built for AI agents to parse complex PDFs and Office documents into LLM-ready markdown.
- DeepSeek V4 Pro
LlamaIndex-native parser that converts complex PDFs into agent-friendly structured text.
- GLM-5.3
Best-in-class parsing of PDFs, tables, and layouts into agent-ready markdown.
- Kimi K3
Best-in-class PDF-to-Markdown conversion for agentic RAG pipelines.
- MiniMax M3
Best-in-class PDF parsing accuracy for complex layouts
- Mistral Large 4
LlamaIndex's purpose-built document parser, excellent for structured extraction and RAG.
What the models say about python-docx
One reason per model, from the shared questions
- Claude Haiku 5.5
Simple, popular Python library for creating and editing Word documents.
- DeepSeek V4 Pro
Best Python library for .docx reading and writing, simple API.
- GLM-5.3
Well-documented Python library for Excel and Word automation.
- Kimi K3
Simple, dependable Word document creation and editing for agents.
- MiniMax M3
Clean Python API for generating and editing Word documents programmatically.
- Mistral Large 4
Simple, widely adopted Python library for Word documents without Office dependencies.
- Nemotron 3 Ultra
Pythonic 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
| Question | LlamaParse | python-docx |
|---|---|---|
| Best SDKs for AI agents that handle Office and PDF files | 26% #8 | 40% #2 |
| Best Python libraries for PowerPoint files | · | 18% #11 |
| Best Python libraries for reading and editing Excel files | · | 1% #29 |