I gave MiMo-V2.5-Pro a single prompt and it built a full macOS Sequoia clone in the browser. Here's my honest take as someone who uses agentic coding daily.



The prompt was straightforward:

*"A pixel-perfect macOS Sequoia desktop clone built entirely in the browser. Interactive window management, 54 native-style apps, Dock with physics-based magnification, Spotlight, Launchpad, and a working Safari browser."*

And it delivered. A fully functional macOS UI running in the browser, complete with a working Dock, app windows, Spotlight, and Launchpad  all rendered from a single prompt. You can see the result in the screenshots above.

**Why this matters for agent workflows:**

The hardest part of agentic coding isn't raw capability, it's context retention across long, complex tasks. MiMo-V2.5-Pro held the full spec across the entire session without drifting or losing track of the original instructions. That's the thing that breaks most models on real projects.

I ran this through OpenCode. Setup was trivial since the model exposes OpenAI-compatible endpoints, so it dropped straight into my existing stack.

**The open-source angle:**

MIT License. You can use their API or self-host. For teams building agent pipelines that need a capable model without vendor lock-in, this is worth evaluating.

On ClawEval it leads the open-source field while using significantly fewer tokens than comparable frontier models. For long agentic runs, that efficiency compounds fast.

**Bottom line:** Not a toy. If you're running serious agent workflows, give it a real test.

I built a macOS clone in the browser with a single prompt