Xiaomi MiMo-V2-Pro Launch: A Flagship Base for the Agent Era

TLDR:

• Xiaomi launches MiMo-V2-Pro, its flagship AI foundation model with over 1 trillion parameters
• Ranks 8th globally on AI benchmarks, 2nd in China
• Built specifically for AI Agent scenarios with 1 million token context window
• API pricing at $1-$2 per million tokens — one-fifth the cost of Claude Sonnet 4.6
• Free API access for one week via OpenClaw, Claude Code, and other frameworks

The Model Built for Agents

Xiaomi just dropped a serious AI model. The MiMo-V2-Pro is the company’s new flagship foundation model, purpose-built for the Agent Era — designed to handle high-intensity, real-world Agent applications rather than just chat interactions.

The numbers are eyebrow-raising: over 1 trillion parameters with 42 billion active parameters. It uses a hybrid attention architecture and supports a 1 million token context window. On the global Artificial Analysis ranking of large AI models, MiMo-V2-Pro ranked 8th worldwide and 2nd in China.

Performance That Challenges Claude

Within frameworks like OpenClaw and Claude Code, Xiaomi claims MiMo-V2-Pro shows outstanding end-to-end task execution — completing complex workflow orchestration, long-range planning, and precise tool use without human intervention.

The company is making bold comparisons: user experience reportedly surpasses Claude Sonnet 4.6 and approaches Opus 4.6. Yet the API pricing is positioned at roughly one-fifth of those models — $1-$2 per million input tokens depending on context length.

Technical Deep Dive

• Trillion-parameter efficiency — The model surpasses 1 trillion parameters while maintaining high inference efficiency. The hybrid attention mix ratio improved from 5:1 to 7:1, and it achieves fast generation through lightweight Multi-Token Prediction layers.
• From Chat to Agent — Through scaled post-training across diverse agent task scenarios, MiMo-V2-Pro extends beyond answering questions or producing demos. Xiaomi positions it as the “brain” that drives systems and delivers real-world impact.
• OpenClaw Integration — MiMo-V2-Pro is trained with SFT and RL on diverse and complex agent scaffolds, enabling stronger tool use and multi-step reasoning. It ranks among global top tier on OpenClaw’s PinchBench and ClawEval benchmarks.

The Hunter Alpha Origin Story

Here’s the backstory: a week before the official launch, an anonymous model codenamed Hunter Alpha went live on OpenRouter. During its launch period, usage steadily increased, topping the daily ranking for several days, with total usage surpassing 1 trillion tokens. Hunter Alpha was actually the early internal testing version of MiMo-V2-Pro.

After a week of continuous iteration and optimization, Xiaomi claims MiMo-V2-Pro achieved remarkable improvements in long-text capabilities and stability across agent scenarios.

Real-World Coding Capabilities

Beyond vibe coding, Xiaomi says MiMo-V2-Pro handles more rigorous software engineering tasks. In evaluations by Xiaomi’s internal engineers, the experience reportedly approaches Claude Opus 4.6 — demonstrating stronger system design and task planning capabilities, more elegant coding style, and more efficient problem-solving.

During the Hunter Alpha testing phase, programming-focused tools were among the most frequently used applications, Xiaomi claims, validating the model’s usability in real-world development scenarios.

Ecosystem Integrations

• MiMo Studio + WPS Office — Xiaomi introduced MiMo Claw, fully integrated with the WPS WebOffice ecosystem, supporting Word, Excel, PPT, and PDF formats, covering over 95% of everyday document types.
• MiMo × WPS Lingxi — The underlying reasoning engine integrates at framework level with the WPS Office ecosystem. Users can ask questions or assign tasks via Lingxi Claw for more efficient office work.
• MiMo × miclaw — Xiaomi’s mobile AI agent built on the MiMo large model offers system-level execution, deep integration across the “Human × Car × Home” ecosystem, and locally deployed security enhancements.
• MiMo × Xiaomi Browser — Enhanced AI-powered search experience through direct browser integration.

Free API Access

MiMo-V2-Pro partners with five leading development framework agents — OpenClaw, OpenCode, KiloCode, Blackbox, and Cline — offering global developers one week of free API access. For details, follow MiMo’s official channels.

Our Take

Xiaomi is making a serious push into the AI foundation model space, and the specs are genuinely competitive. The 1 trillion parameter count, million-token context window, and OpenClaw integration make this worth watching — especially given the pricing strategy positioned against Claude.

The Agent Era framing is interesting. Most foundation models talk about chat capabilities. Xiaomi is explicitly building for autonomous task completion, which aligns with where the industry seems to be heading.

The OpenClaw benchmark performance claim is significant if it holds up. For Malaysian developers and businesses using OpenClaw, having a locally-competitive model with strong agentic capabilities could be valuable — particularly at the claimed price point.

Whether Xiaomi can sustain this against established players remains to be seen, but MiMo-V2-Pro is clearly a serious entrant into the foundation model race.