Mimo
Officially listedXiaomi's open-source LLM family specializing in AI agents, coding, and long-context processing.
Mimo
Xiaomi MiMo is an open-source large language model series from Xiaomi, developed under the leadership of former core DeepSeek members, focused on AI agents, code generation, and ultra-long context processing. The flagship MiMo-V2-Flash reaches 94.1% on math reasoning (AIME 2025) and 73.4% on software engineering (SWE-Bench), with agent capability close to Claude Opus 4.6 at a significantly lower API cost.
Core Capabilities
- Extreme reasoning performance: 309B-parameter MoE architecture, 150 tokens/second inference speed, millisecond-level response
- Ultra-long context: Supports 256K-1M token windows, suited to long document analysis and large codebase processing
- Multimodal understanding: MiMo-V2-Omni natively supports text, image, audio, and video, with audio understanding surpassing Gemini 3 Pro
- Open-source ecosystem: Fully open model and inference code, supporting local deployment and custom optimization
- Hardware synergy: Combined with Xiaomi's IoT ecosystem, smart home linkage via Xiaomi miclaw
- Smart office: One-click generation of Word documents, structured Excel files, and complete PPT decks
Use Cases AI agent development, code generation, long document analysis, smart office automation, and smart home control. Suited to cost-conscious developers, enterprise users, and Xiaomi ecosystem users.
Unique Advantages Agent-scenario performance approaches Claude Opus 4.6, while API pricing is lower than GPT-4o-mini and Gemini 1.5 Flash. The open-source strategy reduces vendor lock-in risk, and the hardware ecosystem creates differentiated competitiveness.
Editor's Review Professional reviews say MiMo "jumped straight into the major leagues," with technical strength among the world's leading open-source models. The Reddit community calls it "underrated" with outstanding value for money. Although brand recognition and ecosystem maturity will take time to build, for users who prioritize technical strength and cost-effectiveness this is a high-quality option worth serious attention. Recommendation: 4/5 stars.
Pricing
### 💰 定价模式：免费增值 **起步价**：免费（Web端体验） #### 主要方案 - **MiMo Studio**：免费 - 网页端对话、文档生成、代码生成 - **MiMo-V2-Flash API**：$0.09/百万输入tokens，$0.29/百万输出tokens - 262K上下文 - **MiMo-V2-Pro API**：$1-2/百万输入tokens，$3-6/百万输出tokens - 256K-1M上下文 - **MiMo-V2-Omni API**：$0.4/百万输入tokens，$2/百万输出tokens - 256K上下文 #### 试用/其他信息 开源模型支持本地部署，API曾提供限时免费公测。
FAQ
Is Mimo free?
The MiMo Studio web app is completely free, while the API is pay-as-you-go. Open-source models support free local deployment, and there was a limited-time free public beta.
What are Mimo's main features?
Core features include AI agent development, code generation, 256K-1M ultra-long context processing, multimodal understanding, smart office automation, and smart home control.
What is Mimo's API pricing?
MiMo-V2-Flash starts at $0.09 per million input tokens—cheaper than GPT-4o-mini and Gemini 1.5 Flash, with comparable or even better performance.
How does Mimo differ from Claude?
MiMo approaches Claude Opus 4.6 in agent capability but at a significantly lower API cost. MiMo is open source and supports local deployment; Claude is a closed-source commercial model.
Is Mimo suitable for developers?
Very much so. It is compatible with OpenAI and Anthropic API formats and works with mainstream tools like LiteLLM and OpenClaw, excelling at code generation and agent development.
Can Mimo be deployed locally?
Yes. The 309B-parameter MoE model is fully open source and can be deployed via platforms like Hugging Face; the recommended configuration is a GPU with at least 16GB of VRAM.
Which modalities does Mimo support?
MiMo-V2-Omni natively supports text, image, audio, and video input, with audio understanding surpassing Gemini 3 Pro and continuous audio processing beyond 10 hours.
How does Mimo integrate with Xiaomi smart home?
Through Xiaomi's miclaw mobile AI agent, MiMo can control Mijia smart devices, enabling whole-home automation linkage and voice control.