How Xiaomi’s MiMo V2.5 Achieves 99% API Price Cut with Full‑Stack Inference Optimizations

The MiMo‑V2.5 series combines Hybrid Sliding‑Window Attention, Mixture‑of‑Experts and multimodal support with a complete redesign of KVCache management, tiered caching, prefix‑tree logic and scheduling, compressing KVCache to about one‑seventh of full‑attention models and delivering up to 40% faster Prefill, 30% lower TTFT and dramatically reduced inference costs that enable a 99% API price reduction.

Hybrid SWAInference OptimizationKVCache

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How Xiaomi’s MiMo V2.5 Achieves 99% API Price Cut with Full‑Stack Inference Optimizations

PaperAgent

Dec 19, 2025 · Artificial Intelligence

Inside Xiaomi’s MiMo‑V2‑Flash: How a Hybrid SWA Design Powers Fast, Efficient AI Reasoning

Xiaomi’s newly open‑sourced MiMo‑V2‑Flash model combines a hybrid sliding‑window/attention architecture with a 309B‑parameter MoE design, delivering top‑tier reasoning, coding and agent performance while introducing the efficient MOPD post‑training paradigm that dramatically reduces RL compute costs.

Hybrid SWALarge Language ModelMOPD

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Inside Xiaomi’s MiMo‑V2‑Flash: How a Hybrid SWA Design Powers Fast, Efficient AI Reasoning

AI Insight Log

Dec 18, 2025 · Artificial Intelligence

Xiaomi’s New MiMo‑V2‑Flash LLM Rivals DeepSeek‑V3.2 and Near‑GPT‑5 High

Xiaomi’s MiMo‑V2‑Flash, a 309B‑parameter MoE LLM with only 15B active weights, uses Hybrid SWA, Multi‑Token Prediction and Multi‑Teacher On‑Policy Distillation to cut KV‑cache by six times, boost inference speed 2.6×, and achieve performance comparable to DeepSeek‑V3.2, Kimi‑K2 and near‑GPT‑5 High, including a 73.4% SWE‑Bench code‑agent score.

Hybrid SWALarge Language ModelMOPD

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Xiaomi’s New MiMo‑V2‑Flash LLM Rivals DeepSeek‑V3.2 and Near‑GPT‑5 High