*Data last updated: 2026-04-29 02:47 (UTC+8)
As of 2026-04-29 02:47, XIAOMI 01810.HK (XIAOMI) is priced at $0, with a total market cap of --, a P/E ratio of 0,00, and a dividend yield of 0,00%. Today, the stock price fluctuated between $0 and $0. The current price is 0,00% above the day's low and 0,00% below the day's high, with a trading volume of --. Over the past 52 weeks, XIAOMI has traded between $0 to $0, and the current price is 0,00% away from the 52-week high.
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XIAOMI 01810.HK (XIAOMI) Latest News
Xiaomi's MiMo-V2.5 Series Goes Open Source: 1T Parameters with Superior Token Efficiency vs GPT-5.4
Gate News message, April 27 — Xiaomi's MiMo team has open-sourced the MiMo-V2.5 series of large language models under MIT license, supporting commercial deployment, continued training, and fine-tuning. Both models feature a 1 million token context window. MiMo-V2.5-Pro is a pure-text mixture-of-experts (MoE) model with 1.02 trillion total parameters and 42 billion active parameters, while MiMo-V2.5 is a native multimodal model with 310 billion total parameters and 15 billion active parameters, supporting text, image, video, and audio understanding. MiMo-V2.5-Pro targets complex agent and programming tasks. In ClawEval benchmarks, it achieved 64% Pass@3 while consuming approximately 70,000 tokens per task trajectory—40% to 60% fewer tokens than Claude Opus, Gemini 3.1 Pro, and GPT-5.4. The model scored 78.9 on SWE-bench Verified. In a demonstration, V2.5-Pro independently implemented a complete SysY-to-RISC-V compiler for a Peking University compiler course project in 4.3 hours with 672 tool calls, achieving a perfect score of 233/233 on hidden test sets. MiMo-V2.5 is designed for multimodal agent scenarios, equipped with a dedicated vision encoder (729 million parameters) and audio encoder (261 million parameters), scoring 62.3 on the Claw-Eval general subset. Both models employ a hybrid architecture combining sliding window attention (SWA) and global attention (GA), paired with a 3-layer multi-token prediction (MTP) module for accelerated inference. Model weights are available on Hugging Face. Alongside the open-source release, the MiMo team launched the "Orbit Quadrillion Token Creator Incentive Program," offering 100 quadrillion tokens free over 30 days to global users. Individual developers, teams, and enterprises can apply via the program page with an evaluation cycle of approximately 3 business days; approved benefits are distributed as Token Plans or direct credits, compatible with tools like Claude Code and Cursor.
2026-04-24 09:01Xpeng, Xiaomi Lead In-Car AI Push at Beijing Auto Show
Gate News message, April 24 — Chinese automakers showcased advanced in-car AI systems at the Beijing Auto Show on April 24, as the country accelerates its AI Plus strategy and seeks greater independence from foreign semiconductors. Xpeng demonstrated voice-controlled parking that allows drivers to issue spoken commands instead of manually selecting locations. Xiaomi upgraded its car operating system with AI capabilities for tasks including reservations and note-taking. Huawei announced plans to invest more than $10 billion in smart driving technology, while Horizon Robotics unveiled a processor combining cockpit and autonomous driving functions. Xpeng's in-house Turing chip reportedly delivers three times the processing power of Nvidia's Orin processors currently deployed in its vehicles. The push reflects intensifying U.S. export controls on advanced AI chips and China's efforts to develop domestic semiconductor alternatives, driving efficiency gains across the industry.
2026-04-24 04:57Xiaomi Reveals MiMo-V2-Pro Training Details: 1T Model Parameters, Thousands of GPUs Deployed
Gate News message, April 24 — Xiaomi's large language model team lead Luo Fuli disclosed in an in-depth interview that the MiMo-V2-Pro model has 1 trillion parameters in total and required thousands of GPUs for training. She noted that the 1T scale represents the minimum threshold to achieve performance approaching Claude Opus 4.6 level and secure a competitive entry ticket for the next phase of AI agents. Technically, the Pro version employs an extreme sparse attention mechanism with a 7:1 ratio between global attention and sliding window attention, controlling inference costs for long-context processing. The model also retains the MTP (Multi-Token Prediction) architecture to leverage surplus compute power for faster inference. On the management side, the 100-person MiMo team has only 30-40 people directly engaged in core iterations. The team operates without formal hierarchies or explicit sub-group divisions and delivery deadlines. When encountering unstable numerical issues such as training loss spikes, the team prioritizes halting training for investigation, even if it means stopping operations for one or two weeks and incurring millions of dollars in compute costs.
2026-04-21 06:21Autonomous Robots Completes Series B Funding Round Led by Xiaomi Ventures
Gate News message, April 21 — Autonomous Robots announced today that it has completed a Series B funding round, with Xiaomi Ventures leading the investment, according to interface news.
2026-04-21 02:21Xiaomi Opens Limited Beta Testing for Xiaomi miclaw on PC, Mac, and Smart Speakers
Gate News message, April 21 — Xiaomi officially launched limited beta testing for Xiaomi miclaw on PC, Mac, and smart speakers starting at 10:00 AM on April 21. Users can apply for testing access through the Xiaomi Community. The new PC and Mac versions extend miclaw's system-level execution capabilities to desktop platforms, supporting document organization, data analysis, and batch file processing tasks, with cross-device collaboration between the desktop and mobile versions. The smart speaker version of Xiaomi miclaw operates independently without requiring a phone and offers cross-device collaboration with phones, PCs, and IoT devices.
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