Kimi.ai vs FileGPT

Kimi is Moonshot AI's conversational assistant built around the K3 model, designed for agentic coding and knowledge work. You can chat, delegate multi-step tasks to specialized agents, and generate slides, documents, spreadsheets, and even playable games from a single prompt.

The platform spans a web app, a desktop agent called Kimi Work, and Kimi Code, a CLI that drops into terminal and IDE workflows. Agent modes include Swarm for parallel tasks, Deep Research for investigation, and dedicated tools for slides, websites, docs, and sheets.

Kimi Work extends the assistant to your desktop with local file access, browser automation through WebBridge, scheduled cron tasks, and built-in market data for A-shares, Hong Kong, and US equities. Kimi Code targets developers with up to 1 million context tokens, shell command execution, and subagent support for parallel coding tasks.

FileGPT turns PDFs, Word files, text documents, audio, YouTube videos, and webpages into a searchable knowledge base you can question in plain language. Upload sources into collections, pick the files you need, and get answers that pull from every selected document at once. A free tier is available, with paid plans sold on yearly billing and priced in monthly token allotments.

Tools like ChatPDF focus on a single PDF at a time. FileGPT's cross-source querying lets you select multiple files and webpages and merge them into one answer, which helps when research spans separate reports or lecture notes. Pro adds OCR for handwritten pages, audio and video parsing, and unstructured PDF handling that basic single-file viewers skip.

Students, researchers, program managers, and data workers who juggle long readings and mixed media sources are the target users on the pricing page. The site highlights history majors writing reading responses, managers consolidating online content, and analysts who would rather query a file stack than scroll page by page.