Apache POIvsLlamaParse
How 10 AI models weigh Apache POI against LlamaParse on the 1 buying question where both came up.
- Apache POI
- 39%of answers named it
- LlamaParse
- 26%of answers named it
- Placed higher
- 16–13times Apache POI vs LlamaParse, over 29 model rankings that listed either
- Models leaning
- 5–3toward Apache POI vs LlamaParse; 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 | Apache POI | LlamaParse | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 63% | 25% | 3–1 | Apache POI |
| GPT-6 Luna | 13% | 13% | 0–1 | LlamaParse |
| Gemini 4 Argon | 0% | 63% | 0–3 | LlamaParse |
| Qwen 3.8 Flash | 38% | 13% | 2–1 | Apache POI |
| DeepSeek V4 Pro | 25% | 25% | 1–1 | Even |
| GLM-5.3 | 38% | 50% | 2–2 | Even |
| Kimi K3 | 38% | 38% | 1–2 | LlamaParse |
| MiniMax M3 | 75% | 13% | 3–1 | Apache POI |
| Mistral Large 4 | 38% | 25% | 2–1 | Apache POI |
| Nemotron 3 Ultra | 63% | 0% | 2–0 | Apache POI |
What the models say about Apache POI
One reason per model, from the shared questions
- Claude Haiku 5.5
Widely used open-source Java library for Office formats, with strong community support.
- DeepSeek V4 Pro
De facto Java standard for Office docs, mature and dependency-free.
- Kimi K3
Industry standard for Word and Excel; mature, free, deeply reliable.
- MiniMax M3
Mature Java library for reading/writing Word and Excel documents reliably.
- Mistral Large 4
Mature, free, battle-tested Java library for full programmatic control of Office formats.
- Nemotron 3 Ultra
Java library for Microsoft Office formats.
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.
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 | Apache POI | LlamaParse |
|---|---|---|
| Best SDKs for AI agents that handle Office and PDF files | 39% #3 | 26% #8 |
| Best Python libraries for PowerPoint files | 11% #17 | · |
| Best Python libraries for reading and editing Excel files | 3% #25 | · |