Xiaomi MiMo Blog
Model deep dives, competitive comparisons, developer guides, and industry analysis
Welcome to the Xiaomi MiMo community blog. This is where we cover everything about MiMo — from the lightweight MiMo-7B to the MoE flagship MiMo-V2-Flash and the latest MiMo-V2.5-Pro (1T+ params, 1M context). All models are MIT licensed.
Topics include: MiMo Code — the open-source terminal AI coding agent, competitive analysis against DeepSeek / Qwen / Llama, on-device deployment guides, API integration tutorials, and the evolving open-weight LLM landscape. Whether you're building with MiMo or evaluating it for your stack, you'll find practical, hands-on content here.
MiMo Code — Xiaomi's Open-Source AI Coding Agent: Full Deep Dive
On June 10, 2026, Xiaomi MiMo team released MiMo Code V0.1.0 — a terminal-native AI coding agent under the MIT license. This article covers core features, architecture, installation workflow, editor integrations (VS Code, Cursor, Cline, Zed), and the multi-agent system.
Read more →MiMo-V2.5 Series Deep Dive: Pro · Omni · TTS
In April 2026, Xiaomi open-sourced three new models — MiMo-V2.5-Pro (1M context agent flagship), MiMo-V2.5-Omni (full-modal), and MiMo-V2.5-TTS (speech). Architecture upgrades, benchmark comparisons, and ecosystem implications.
Read more →Xiaomi MiMo vs DeepSeek — Open-Weight Reasoning LLM Showdown
Two of the most compelling open-weight reasoning model families, head to head. Architecture, benchmarks (AIME, SWE-Bench, LiveCodeBench), deployment options, pricing, and ecosystem — which one fits your use case?
Read more →On-Device LLM Deployment Guide: MiMo INT4 Quantization & Optimization
On-device reasoning is central to MiMo's strategy. This practical guide covers model compression, INT4 quantization, TransAct pruning, the HyperOS AI framework, NPU acceleration, and hybrid edge-cloud architectures.
Read more →Open-Weight LLM Landscape 2026: MiMo vs DeepSeek vs Qwen vs Llama vs Mistral
A comprehensive six-way comparison of today's leading open-weight LLM families. Architecture, open-source strategy, benchmark performance, API pricing, on-device capability, and ecosystem fit for developers building production AI.
Read more →MiMo vs Qwen: Two Giants, Two Paths — Reasoning Edge vs Full-Modal Cloud
Xiaomi and Alibaba have taken very different routes in the open-weight LLM space. This analysis compares their model matrices, technical strategies, and ecosystems — and what it means for developers choosing between them.
Read more →📬 Stay Updated & Contribute
The MiMo blog publishes regularly on new model releases, developer guides, and competitive analysis. This is a community site — contributions, corrections, and suggestions are welcome via GitHub Issues.
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