openpyxlvsUnstructured
How 10 AI models weigh openpyxl against Unstructured on the 2 buying questions where both came up.
- openpyxl
- 24%of answers named it
- Unstructured
- 24%of answers named it
- Placed higher
- 19–19times openpyxl vs Unstructured, over 38 model rankings that listed either
- Models leaning
- 4–4toward openpyxl vs Unstructured; 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 2 shared questions, every wording
| Model | openpyxl | Unstructured | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 25% | 19% | 2–1 | openpyxl |
| GPT-6 Luna | 6% | 38% | 0–2 | Unstructured |
| Gemini 4 Argon | 0% | 50% | 0–4 | Unstructured |
| Qwen 3.8 Flash | 38% | 6% | 1–1 | Even |
| DeepSeek V4 Pro | 38% | 38% | 3–3 | Even |
| GLM-5.3 | 13% | 25% | 1–2 | Unstructured |
| Kimi K3 | 19% | 31% | 1–3 | Unstructured |
| MiniMax M3 | 31% | 6% | 3–1 | openpyxl |
| Mistral Large 4 | 25% | 13% | 3–1 | openpyxl |
| Nemotron 3 Ultra | 44% | 13% | 5–1 | openpyxl |
What the models say about openpyxl
One reason per model, from the shared questions
- Claude Haiku 5.5
Widely used Python library for reading and writing Excel .xlsx files.
- Qwen 3.8 Flash
Free, dependable pure-Python choice for xlsx read/write.
- DeepSeek V4 Pro
Dominant Python choice for Excel files, supports formulas and styling.
- Kimi K3
Most practical Excel read/write SDK for agent automation.
- MiniMax M3
Go-to Python library for creating and modifying Excel xlsx files.
- Mistral Large 4
De facto Python standard for Excel read/write with solid performance and features.
- Nemotron 3 Ultra
Top Python library for Excel xlsx read/write.
What the models say about Unstructured
One reason per model, from the shared questions
- Claude Haiku 5.5
Purpose-built document parsing for LLM agents across PDFs and Office formats
- GPT-6 Luna
Strong document ingestion and parsing for extracting structured content for AI.
- Gemini 4 Argon
Industry standard for ingesting, chunking, and preprocessing Office and PDF files for agent workflows.
- DeepSeek V4 Pro
Purpose-built for agentic document parsing with chunking, OCR, and clean markdown output.
- GLM-5.3
Broadest format coverage and mature pipelines for RAG and agent ingestion.
- Kimi K3
Purpose-built ingestion SDK; best Office/PDF parsing with element metadata.
- MiniMax M3
Broad format coverage and solid ETL pipeline integration
- Mistral Large 4
Best-in-class parsing for PDFs, Office docs, and messy files into LLM-ready data.
- Nemotron 3 Ultra
Best for extracting text/tables from any PowerPoint
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 | openpyxl | Unstructured |
|---|---|---|
| Best SDKs for AI agents that handle Office and PDF files | 29% #6 | 44% #1 |
| Best Python libraries for PowerPoint files | 19% #10 | 4% #33 |
| Best Python libraries for reading and editing Excel files | 100% #1 | · |