Xiaomi Unveils Hunter Alpha AI Model, Ending DeepSeek Speculation
Xiaomi's Hunter Alpha AI Model Revealed as MiMo-V2-Pro

Xiaomi Confirms Hunter Alpha AI Model Origin

Chinese technology conglomerate Xiaomi has officially revealed that the powerful artificial intelligence model which appeared anonymously on a developer platform last week is indeed its creation. This disclosure ends widespread speculation within the AI community that startup DeepSeek was secretly testing its next-generation system. The mysterious model, known as Hunter Alpha, generated intense interest before its true origin was confirmed on Wednesday.

Speculation Surrounding DeepSeek Connection

Hunter Alpha first surfaced on the AI gateway platform OpenRouter on 11 March without any developer attribution, leading the platform to describe it as a "stealth model." Its impressive capabilities quickly led many industry observers to believe it was DeepSeek-V4, the highly anticipated successor to DeepSeek's low-cost models, DeepSeek-V3 and R1. The release of DeepSeek's earlier models last year had triggered a global technology stock selloff, prompting investors to question the necessity of spending billions on AI computing power by American firms.

MiMo Team Confirms Internal Test Build

Xiaomi's AI model team, MiMo, confirmed that Hunter Alpha was an "early internal test build of MiMo-V2-Pro." This flagship model is designed to serve as the "brain" of AI agents – sophisticated tools that enable users to execute complex tasks with fewer human prompts and less supervision than traditional chatbots. MiMo is led by Luo Fuli, a former DeepSeek researcher who brings significant expertise to Xiaomi's AI development efforts.

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Rapid Adoption of Agent Frameworks

The timing of Xiaomi's revelation coincides with the rapid adoption of open-source agent frameworks, such as OpenClaw, among users across China. Luo Fuli commented on the swift shift in the AI landscape, stating in an X post on Thursday: "I call this a quiet ambush - not because we planned it, but because the shift from chat to agent paradigm happened so fast, even we barely believed it." She added, "People ask why we move so fast. I saw it firsthand building DeepSeek R1."

Market Response and Technical Specifications

MiMo-V2-Pro is set to partner with five major agent frameworks, including OpenClaw, offering a week of free access to developers worldwide. Following the announcement, Xiaomi's Hong Kong-listed shares surged by as much as 5.8 per cent on Thursday. During tests conducted by Reuters last week, the Hunter Alpha chatbot identified itself as "a Chinese AI model primarily trained in Chinese" and indicated its data extended back to May 2025, a knowledge cutoff point identical to that reported by DeepSeek's own chatbot.

Model Capabilities and Industry Context

Hunter Alpha's profile page describes it as a 1-trillion-parameter model, meaning it was trained using approximately one trillion adjustable values that dictate how the system processes language and generates responses. The system also boasts a context window of up to one million tokens, a measure of how much text an AI model can process or remember during a single interaction. Nabil Haouam, an engineer specialising in AI agent systems, highlighted the model's unique appeal: "The combination that stood out was Hunter Alpha's 1-million-token context paired with reasoning capability and free access." He noted that "Most frontier models with that context window come with real cost at scale."

Stealth Launch Industry Practice

These specifications closely matched expectations in local media for DeepSeek's unreleased V4 model, which Chinese outlets had reported could launch as early as April. Umur Ozkul, who conducts independent AI benchmark tests, acknowledged that the speculation linking the model to DeepSeek was understandable given its timing and advertised capabilities. Stealth model launches are not uncommon in the AI industry, with platforms like OpenRouter serving as popular testing grounds for new systems by allowing developers to query dozens of AI models through a single interface.

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Feedback Collection and Rapid Adoption

A notice on Hunter Alpha's profile page indicated that "All prompts and completions for the model 'are logged by the provider and may be used to improve the model'," underscoring the industry practice of using stealth launches to gather unbiased feedback. MiMo reported that Hunter Alpha was rapidly adopted after its appearance, surpassing one trillion tokens in total usage and topping the leaderboard charts on OpenRouter. This successful stealth launch demonstrates Xiaomi's growing capabilities in the competitive artificial intelligence landscape.