Xiaomi MiMo V2.6 Qwen 9B Tested on a 16GB M1 MacBook Pro

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A developer running a series of local AI experiments tested Xiaomi's MiMo V2.6, a 9-billion-parameter model distilled from Qwen, on an entry-level 16GB M1 MacBook Pro. The model was evaluated using standard prompts, including a general knowledge question and a Python scripting task, with all tests run at real speed via MLX Core, a native Mac app built on Apple's MLX framework. MiMo V2.6 delivered detailed responses at around 12 tokens per second and uniquely requested tool access before writing code, though its output contained a minor formatting error. The developer ranked it roughly on par with Ternary Bonsai 2 and above Gemma 4B, calling it suitable for summarization and small utility scripts but not extended agentic coding sessions. The model is free to use, requires no API billing, and functions fully offline, which the developer highlighted as a key practical advantage.

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