Xiaomi's MiMo Code beats Claude Code on 200+ step tasks,...

Why this matters We see Xiaomi pushing an open‑source, agentic AI coding tool that outperformed Claude Code on tasks exceeding two hundred steps, a benchmark that suggests the system can handle unusually long reasoning chains. The bundle includes MiMo Auto, a zero‑configuration channel that grants free, limited‑time access to MiMo‑V2.5, Xiaomi’s multimodal model introduced in late April 2026. That model uses a sparse mixture‑of‑experts architecture with 310 billion total parameters but activates only 15 billion per inference, and it supports a one‑million‑token context window.

For developers, the promise of such scale without full‑cost compute could lower entry barriers, especially when the code assistant is freely available. Yet the performance gap is demonstrated only on ultra‑long, 200‑plus step tasks; it is unclear whether similar gains appear on more typical coding workloads or across diverse programming languages. Founders may appreciate the aggressive pricing and bundled access, but the sustainability of free limited‑time usage and the real‑world robustness of the model remain open questions.

Researchers will likely watch how the sparse expert activation balances cost and capability as the ecosystem evolves.