I Wish I Knew AI Coding Models Sooner — Here's the Full Breakdown
I Wish I Knew AI Coding Models Sooner — Here's the Full Breakdown Last quarter my burn rate went sideways. Not because we hired anyone new, not because we shipped a big feature — because I'd been running every PR review and every refactor through whatever premium model my IDE defaulted to. When I finally pulled the invoice, I wanted to throw my laptop into the bay. That's the day I started taking…
In the recent quarter, the author's burn rate increased significantly. The reason was running every PR review and code refactor through a premium AI coding model integrated into their IDE. Upon reviewing the invoice, the author felt compelled to take coding model pricing seriously, leading to a three-week experiment comparing five coding tasks across ten different AI models. The author aimed to reveal the true value of these models for startups and CTOs, moving beyond the misleading leaderboard screenshots on social media.
The author developed a custom rubric to assess the models based on correctness, code quality, documentation, and handling of edge cases. The experiment involved five tasks: function implementation, bug fixing, algorithm implementation, code review, and feature development. After comparing the models, the author identified the best performers and their respective pricing, revealing that some models offer excellent value at a fraction of the cost of others.
The key takeaway is that when optimizing for ROI, the right model at a lower price can outperform higher-priced options with similar capabilities.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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