Xiaomi MiMo-V2-Pro: The 309B MoE Reasoning Powerhouse

Concrete benchmark results highlight its strength. On the MMLU (Massive Multitask Language Understanding) evaluation, the model scored above 85%, indicating a strong grasp of diverse knowledge. In HumanEval, a standard for code generation, it exceeded 90% pass rates, making it a viable alternative for automated coding assistants. Additionally, on SWE-bench, it successfully resolved complex software issues, proving its utility in real-world engineering workflows.

• MMLU Score: >85%
• HumanEval Pass Rate: >90%
• SWE-bench: High Resolution Rate
• Math Reasoning: Top Tier

API Pricing

Xiaomi has adopted a competitive pricing strategy to democratize access to high-performance AI. The MiMo-V2-Pro API is priced significantly lower than industry leaders, reflecting its open-source nature and efficient inference costs. This pricing model is designed to reduce the total cost of ownership for startups and large enterprises alike, allowing them to deploy complex agents without prohibitive expenses.

Developers can access the model through a tiered system. A generous free tier is available for testing and low-volume usage, encouraging experimentation. For production workloads, the pay-as-you-go model ensures flexibility. The low cost per token makes it ideal for high-volume applications such as automated customer support agents, code refactoring tools, and large-scale data analysis pipelines.

• Free Tier: Available for testing
• Enterprise Discounts: Negotiable
• Cost Efficiency: High
• Billing: Pay-as-you-go

Comparison Table

To contextualize MiMo-V2-Pro's capabilities, we have compared it against other leading models in the current market. The data below highlights differences in context windows, output limits, and pricing structures. While competitors offer larger parameter counts, MiMo-V2-Pro achieves comparable performance with a more efficient architecture, resulting in better cost-performance ratios for most use cases.

• MiMo-V2-Pro offers the best balance of cost and reasoning.
• Competitors often lack open-source flexibility.

Use Cases

The versatility of MiMo-V2-Pro extends across multiple domains, making it a versatile tool for developers. Its strong reasoning capabilities make it ideal for autonomous agents that need to plan and execute multi-step tasks. In the coding sector, it serves as a powerful pair programmer, capable of understanding legacy codebases and suggesting architectural improvements based on the 1M token context.

For enterprises, the model excels in RAG applications where long-context retention is critical. Legal and financial sectors can utilize the model for document analysis and compliance checking, ensuring accuracy in high-stakes environments. Additionally, its open-source nature allows for fine-tuning on proprietary data, ensuring that sensitive information remains within the organization's control while leveraging state-of-the-art reasoning capabilities.

• Autonomous Agents
• Code Refactoring
• Legal Document Analysis
• Financial Compliance

Getting Started

Accessing MiMo-V2-Pro is straightforward for developers. The model is available via the official Xiaomi AI API portal, where you can generate an API key after registering. For local deployment, the open-source weights are hosted on major platforms, allowing for on-premise inference using compatible hardware accelerators.

To integrate the model into your application, utilize the provided Python SDK which supports asynchronous requests. Documentation is comprehensive, covering authentication, rate limits, and example code snippets. For community support, join the official GitHub repository where developers share fine-tuned versions and integration tutorials.

• API Endpoint: api.xiaomi.ai/v2
• SDK: Python, Node.js
• GitHub: github.com/xiaomi-ai/mimo
• Docs: docs.xiaomi.ai/mimo-v2

Comparison

API Pricing — Input: $0.30 / Output: $0.90 / Context: 1M Tokens

Sources