July 20, 2026
One buck, 2%, and a comment riot
Tested Kimi K3 for Coding (2026)
AI saves a coder 15 minutes and $1, but the comments say “show us the real race”
TLDR: Kimi K3 helped a coder make a program run slightly faster for about $1, which suggests the new AI may be genuinely useful for coding. But commenters were not ready to celebrate, arguing that one tiny test proves very little without comparing it against other top AI tools.
A new AI model called Kimi K3 just got its moment in the spotlight after one coder asked it to improve a tricky Rust program and walked away with a working speed boost. The result? About 2% faster, no errors, and a bill of roughly $1. In plain English: the bot found a clever shortcut that lets the computer handle several tiny pieces of data at once, and it actually worked. That’s the good-news version.
But the real fireworks were in the comments, where readers immediately turned into skeptical judges. One camp basically said, "cool story, tiny sample". Another was far less polite, roasting the test for only trying one model and not putting rivals like Fable or GPT through the same challenge. The hottest take was the simple, brutal energy of "ok man", which says everything about the mood. People weren’t just doubting Kimi K3 — they were doubting the whole victory lap.
There was humor too. One commenter practically posted a "saving you a click" speedrun of the article, reducing the big reveal to: AI tried an idea, spent 15 minutes, got 2%. Another summed it up with meme-worthy efficiency: Kimi is good, but this proves almost nothing. So while the article wanted to crown a new coding star, the crowd turned it into a classic internet showdown: nice demo, now show the receipts.
Key Points
- •The article tests the newly released Kimi K3 model on a Rust code-optimization task.
- •The author used OpenCode and copied the program directory so generated changes could be discarded easily.
- •Kimi K3 produced two recommendations, and the author chose a SWAR optimization approach.
- •The article explains SWAR as treating one 64-bit value as eight 8-bit values to process eight `u8` values at once.
- •The reported result was a 2% speed improvement, completed in about 15 minutes, at a cost of about $1 in OpenRouter tokens.