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Tested Kimi K3 for Coding (2026)

Kimi K3, a new AI model released this week, successfully optimized a Rust program by implementing a SWAR (SIMD Within a Register) technique, achieving a 2% speedup with no errors. The task took 15 minutes and cost about $1 on OpenRouter, suggesting the model may be near-frontier quality as advertised.

read1 min views1 publishedJul 20, 2026

The new model Kimi K3 was released this week, and it is claimed to be near-frontier level quality similar to Fable and GPT. I decided to try it out and see if it could optimize my Rust program. I felt a less specific task, like "optimize this function somehow" was a good test.

I set up Kimi K3 in OpenCode, and made a copy of my program directory so that I could throw away the changes made easily. I directed a prompt to the function I wanted optimized. I had spent a fair amount of time optimizing this function, and I did not seem to be making much progress on my own.

Kimi K3 had 2 recommendations, and I decided to have it pursue the SWAR

optimization—SIMD Within a Register. With SWAR

, a single 64-bit value is treated as 8 eight-bit values—so we can handle 8 u8

values (single-byte) at once. Kimi K3 took about 15 minutes for the task, and it completed it perfectly. I found the optimization sped up the program by 2%. So Kimi K3 both decided on an appropriate optimization, and implemented it with no errors—it seems to me that Kimi K3 could well be a frontier-level model as advertised. It cost about $1 for the tokens on OpenRouter.

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