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[ARTICLE · art-139685] src=dotnetperls.com ↗ pub= topic=large-language-models verified=true sentiment=↑ positive

Evaluated MiMo-V2.6 for Code Rewriting

Xiaomi's MiMo-V2.6 Flash, a scaled-down version of the Pro model, rewrote a Rust codebase to replace lookup tables with direct match statements in 17 seconds at a cost of $0.0005 via OpenRouter, producing working code that cut 512 bytes of binary bloat with no measurable performance gain. The author reported that the model added explanatory comments and inline translation notes, and judged the shorter, simpler result a decent outcome at a fraction of a cent.

read1 min views1 publishedSep 25, 2026

I have a fair amount of Rust code that needs rewriting. In the past I had an obsession with lookup tables, and some of these are no longer needed; the code should just match on values directly. I decided to test MiMo-V2.6 Flash, an LLM from Xiaomi, on this task.

MiMo-V2.6 Flash is a scaled-down version of the "Pro" model, which seems to be ranked close to the frontier models like Claude Opus and GPT-6-Sol. I sent the prompt in through OpenRouter and got my result in 17 seconds. The total cost was one-twentieth of one cent ($0.0005).

I liked how MiMo provided explanatory comments in the Rust code. I tend to like code comments more than code itself—and the translation notes, inline in the code, were appreciated. The code worked and saved me about 512 bytes of bloat from the binary. No performance gains could be measured, but it is shorter and simpler—and it only cost a tiny fraction of a cent, so it seems like a decent outcome.

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