ChatGPT vs. Gemini vs. DeepSeek vs. Claude for Coding: Claude Saved My Weekend
By Patrick Seaman | CEO @ SportsBug™, Author of Streaming Wars
Recently, I needed to update some code, a lightweight client-side interface. Nothing fancy, just a chore. It’s a structured grid of entries tagged with metadata, allowing the browser to dynamically filter entries by various prompts or keywords without requiring server calls. I needed to add a new section.
I won’t bore you with the technical details. The short version is that GPT Plus choked. I tried multiple angles, but it just mangled the results like a bad transporter accident. Baseline Gemini did about the same. And DeepSeek? Well, let’s keep the description PG and say it couldn’t handle it either.
So, Claude. I know folks are talking about Claude lately with regard to the Pentagon mess, but let’s stick with this story. Claude Pro, which I would have pegged as roughly equivalent to ChatGPT Plus for code this simple, nailed it beautifully.
My only real complaint about Claude is how fast I burn through my Pro “message allowance.”
I use GPT extensively for business analysis, spreadsheet work, analyzing documents, and more. It’s a game changer and force multiplier for me. But this next project landed squarely in Claude’s wheelhouse.
One of the advance readers for my upcoming novel Seed of Fear wanted an audio version so she could listen to the draft during a long road trip. I didn’t need commercial-quality audiobook production, just something good enough for an ARC (advance reader copy) listener. And since I’m still deep in editing, I needed to be able to rerun the script easily to generate new MP3 files whenever the manuscript changed. All for internal use.
Claude built a small Python tool that converts the manuscript directly from a Word document into a complete set of audiobook-ready MP3 files. The script reads the document’s heading styles to detect the Prologue, Chapters, Interludes, and Epilogue, preserves the correct listening order, cleans up punctuation for more natural narration, and uses Microsoft Edge’s neural text-to-speech engine to generate a separate audio file for each section. It also automatically splits long chapters into safe chunks, merges them into finished MP3s, and produces a neatly numbered audiobook folder in one pass.
In general, Claude is at least a generation ahead, or at least better tuned, for the purpose of writing analysis and editing. Use GPT to prototype a document, then when you want to really flesh it out and improve it, switch to Claude. Be sure to use the profile feature to establish the style you want. You can set up multiple styles for different projects.
For writing, GPT is my undergrad-level intern and Claude is my grad student. You still have to check their work. None of them truly comprehend what you’re writing, and that leads to all sorts of things to watch out for.
For coding, at least the relatively simple stuff I need here and there, Claude is the clear winner. From what I’ve read online, it reportedly shines at much more complex work as well.
Conclusion:
The AI landscape is moving fast, and no single tool does everything best. My workflow now splits across platforms: GPT for business analysis and document work, Claude for writing support and coding. If you’re only using one, you’re probably leaving capability on the table. Six months from now, this comparison will probably be outdated. These tools are evolving fast, and the gaps I saw this weekend may close or widen in ways none of us expect. But right now, today, if you need code that works on the first pass or writing feedback that actually pushes your draft forward, Claude is the one I’d point you to. I’m not an AI evangelist. I’m a guy who needed working code on a Saturday and a set of audiobook files by Sunday. Claude delivered both. That’s not a brand endorsement. That’s a weekend saved.
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