Industry Insights 11 min read

Can Baidu’s Orange Paper Outperform Kimi? A Deep Dive into AI Writing Tools

This article compares Baidu’s new AI writing platform Orange Paper with Kimi, evaluating their long‑text understanding, multimodal editing, document upload limits, outline generation, and overall usability for research and academic writing, highlighting Orange Paper’s advantages in knowledge retrieval, large‑scale content creation, and deep editing capabilities.

Java Tech Enthusiast
Java Tech Enthusiast
Java Tech Enthusiast
Can Baidu’s Orange Paper Outperform Kimi? A Deep Dive into AI Writing Tools

Overview

Baidu announced the launch of Orange Paper , an AI‑native application that combines knowledge retrieval, ultra‑long text understanding and generation, deep editing, and multimodal creation into a single platform. The article evaluates Orange Paper against the competing AI writer Kimi, focusing on features relevant to research, academic writing, and large‑scale content production.

Key Features of Orange Paper

01 Knowledge Retrieval

Orange Paper leverages Baidu Wenku and Baidu Scholar, accessing billions of high‑quality documents. Users can search academic resources or perform a full‑web search, and the system returns concise summaries, analyses, and answers to specific queries.

02 Multi‑File / Ultra‑Long Document Understanding

The platform accepts up to 100 files in a single upload, each up to 200 MB, supporting PDF, Word, images, links, and mixed‑format batches. It can ingest and summarize massive, multi‑format corpora, providing comprehensive Q&A over the combined content.

03 Ultra‑Long Content Generation

Orange Paper can generate up to 100 000 words in one request. Users may provide a brief topic or upload reference material, and the model produces a detailed long‑form article, automatically creating professional charts and references. The workflow includes an outline step that users can edit before final generation.

04 Deep Editing

The system offers fine‑grained editing functions such as polishing, expansion, continuation, and summarization. Users can adjust tone, insert additional research material, or request specific sections to be refined, all within an integrated online document editor.

05 Multimodal Capabilities

Orange Paper supports image and table recognition, turning uploaded pictures into descriptive text and generating charts directly from raw data. Planned extensions include intelligent PPT, mind‑maps, comics, and sketchbooks.

Comparative Evaluation with Kimi

Knowledge Retrieval : Kimi returns only publicly available web snippets, while Orange Paper provides deeper academic citations and structured summaries.

File Upload Limits : Orange Paper allows 100 files (max 200 MB each); Kimi caps at 50 files (max 100 MB) and requires text in images.

Long‑Form Generation : Kimi can produce short passages; Orange Paper creates coherent outlines first, then expands to full articles exceeding ten thousand words, with higher factual accuracy.

Multimodal Editing : Orange Paper can interpret images and generate charts; Kimi fails to extract information from image‑only inputs.

Accuracy Example : When asked about the origin of a historical phrase, Kimi gave an incorrect answer, whereas Orange Paper provided a correct citation.

User Experience Highlights

Outline‑first workflow lets users modify structure before committing to long‑text generation.

One‑click export to Word or PDF after editing.

Side‑panel queries enable on‑the‑fly fact checks without leaving the document.

Conclusion

Orange Paper demonstrates superior capabilities in large‑scale text understanding, multimodal editing, and integrated research workflows, positioning it as a strong domestic alternative to foreign AI writers like Kimi, especially for academic and professional content creation.

Orange Paper interface
Orange Paper interface
Long‑text generation process
Long‑text generation process
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Multimodal AIAI writingProduct ComparisonKnowledge RetrievalLong Text Generation
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