# Пов'язані статті щодо Xiaomi

Центр новин HTX надає останні статті та поглиблений аналіз на тему "Xiaomi", що охоплює ринкові тренди, оновлення проєктів, технологічні розробки та регуляторну політику в криптоіндустрії.

Lei Jun Announces: 60 Billion Investment in the Next Three Years! Xiaomi's MiMo-V2 Large Model Family Officially Released

Lei Jun, founder of Xiaomi, announced at the Spring Product Launch that the company plans to invest over 60 billion yuan in AI over the next three years, with R&D and capital expenditure for 2026 alone exceeding 16 billion yuan. This underscores Xiaomi's strategic shift from a smartphone maker to an AI technology leader. The event featured the debut of Xiaomi's self-developed large model family, MiMo-V2, including the flagship agent-oriented MiMo-V2-Pro, the multimodal V2-Omni, and the voice-focused V2-TTS. These models are already being deployed across Xiaomi’s device portfolio. Xiaomi also showcased its first AI-native smartphone, Xiaomi Miclaw, currently in closed testing, and an upgraded version of its smart car, SU7, equipped with the XLA cognitive model and a new intelligent cabin system. The substantial investment aims to build a technological moat and accelerate Xiaomi’s integration of AI across its human-vehicle-home ecosystem.

marsbit03/27 02:50

Lei Jun Announces: 60 Billion Investment in the Next Three Years! Xiaomi's MiMo-V2 Large Model Family Officially Released

marsbit03/27 02:50

Xiaomi and MiniMax Unleash Major Upgrades Simultaneously, Officially Kicking Off the Agent Pricing War

Chinese AI companies MiniMax and Xiaomi's MiMo have both launched major Agent-focused models, M2.7 and V2-Pro, respectively, within two days in March. Both models rank in the top tier globally on Agent benchmarks but are priced significantly lower than leading Western models—MiniMax at $1.2 per million tokens (1/21 of Claude Opus) and MiMo at $3 (1/8 of Claude Opus). The two represent divergent technical strategies. MiMo-V2-Pro adopts a scale-driven approach with over 1 trillion parameters and a hybrid attention mechanism optimized for long-context and multi-tool agent tasks. In contrast, MiniMax’s M2.7 uses a self-iterative optimization method, autonomously refining its architecture over 100+ cycles to improve performance without disclosing parameter count. Their release rhythms also differ: MiniMax iterates rapidly with four versions in five months, while Xiaomi releases fewer but more substantial upgrades. Notably, Xiaomi debuted V2-Pro anonymously on OpenRouter as "Hunter Alpha," topping the platform’s usage chart before revealing its identity—a first for a Chinese AI model gaining global developer traction through pure performance.

marsbit03/20 08:03

Xiaomi and MiniMax Unleash Major Upgrades Simultaneously, Officially Kicking Off the Agent Pricing War

marsbit03/20 08:03

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