👾 File Compatibility Across Leading AI Models: A Practical Guide

When I first started integrating AI models into my workflow, one of the most frustrating roadblocks was figuring out which models could handle which file types. After some trial and error (and quite a few error messages), I've compiled this practical guide to help you navigate the file compatibility landscape across today's leading AI assistants.

The Current State of AI File Inputs

Looking at the major players—ChatGPT, Claude, Gemini, and Grok—I've noticed significant differences in their file-handling capabilities that can make or break your productivity depending on your needs.

ChatGPT 4o currently offers the most comprehensive file support. From my experience testing various workflows, it handles nearly everything I've thrown at it: Excel spreadsheets, Word documents, PowerPoint presentations, PDFs, images, and both .m4a and .mp4 video formats. Its ability to process text files is particularly useful for code reviews and data analysis.

Claude 3.7 comes in strong with solid document support (Excel, Word, PowerPoint), PDF handling, and text files. While it lacks video and audio capabilities, it handles the core document formats that most business users need on a daily basis.

The Gemini ecosystem is interesting because it splits capabilities across platforms. The standard Gemini 2.5 Pro handles documents, images, and text files well, while the AI Studio version adds unique capabilities like camera input, video processing, and YouTube integration. I've found this split functionality occasionally frustrating but workable once you know which version to use for specific tasks.

NotebookLM takes a more specialized approach, focusing primarily on PDFs, video formats, YouTube content, and text files. This narrower focus makes it less versatile for document processing but potentially more powerful for multimedia research.

Grok surprised me with its solid document and image support, though it notably lacks video processing capabilities. It handles all the standard business document formats (except PowerPoint), PDFs, and text files, making it a good all-around performer for document-centric workflows. One standout feature of Grok is its ability to process URLs natively as input, which is a convenient feature for several scenarios.

I've included the chart below, which shows the different file types each major LLM can work with. The bottom of the table also indicates whether you can connect Google Drive, OneDrive, or Github for file input.

Practical Implications

What does all this mean for your daily workflow? If you're frequently working with diverse file types, including video, ChatGPT 4o currently offers the most flexible experience (but how it handles video is very different than Gemini). However, if you're primarily focused on document processing, any of these models will serve you well with slight variations in capability.

For those heavily utilizing video content, the combination of AI Studio Gemini and NotebookLM covers both uploaded videos and YouTube content analysis. Text files are universally supported, which is a relief for anyone working with code or plain text data.

The capabilities landscape continues to evolve rapidly, but understanding these differences has saved me countless hours of frustration. I hope this breakdown helps you choose the right tool for your specific needs based on the file types you work with most frequently.