Is the ChatGPT "Coding Monopoly" Over? My 21-Day Test with DeepSeek-R1

Hi Indie Hackers,

Like most of you, I’ve been paying for ChatGPT Plus primarily for its coding capabilities. But over the last 3 weeks, I decided to put DeepSeek-R1 through the wringer on some real-world production tasks to see if it’s actually a "GPT-4o killer" or just hype.

I didn't just look at benchmarks (which we all know can be gamed). I tested them both on:

Refactoring legacy spaghetti code.

Debugging complex API race conditions.

Generating boilerplate for a new Micro-SaaS.

What I Discovered:
One model is clearly superior at "Chain of Thought" reasoning, while the other still wins on pure speed and UX integration. However, there was a specific "Breaking Point" where DeepSeek-R1 consistently outperformed GPT-4o in logic, which surprised me given the price difference.

I’m curious to hear from the builders here:

For those who switched to DeepSeek-R1 for your daily dev workflow, what was the "killer feature" for you?

Is the "Reasoning" phase of R1 actually saving you time, or is it just making the process feel slower?

I’ve documented the full head-to-head test, the prompts I used, and the side-by-side code results in my analysis here:
DeepSeek-R1 vs. GPT-4o: The 21-Day Coding Showdown

Let’s talk AI coding stacks!