Xiaomi MiMo Integrations

OpenAI aims to guarantee that artificial general intelligence (AGI)—defined as highly autonomous systems excelling beyond human capabilities in most economically significant tasks—serves the interests of all humanity. While we intend to develop safe and advantageous AGI directly, we consider our mission successful if our efforts support others in achieving this goal. You can utilize our API for a variety of language-related tasks, including semantic search, summarization, sentiment analysis, content creation, translation, and beyond, all with just a few examples or by clearly stating your task in English. A straightforward integration provides you with access to our continuously advancing AI technology, allowing you to explore the API’s capabilities through these illustrative completions and discover numerous potential applications.

Claude Code is a developer-focused AI tool built to actively assist with real-world coding tasks inside the tools engineers already use. Instead of only completing lines of code, it understands full features, repositories, and workflows. Developers can run Claude Code from their terminal, IDE, Slack, or browser to ask questions, make changes, or debug issues. It automatically explores codebases to provide context-aware explanations and recommendations. This makes onboarding to new projects significantly faster and less error-prone. Claude Code can refactor large sections of code, run tests, and help resolve issues without jumping between platforms. It supports integrations with GitHub, GitLab, and common CLI utilities for end-to-end development workflows. Teams can use it to turn issues into pull requests with minimal manual effort. Claude Code is included in Anthropic’s Pro and Max plans with varying usage limits. Overall, it helps developers focus more on decision-making and less on repetitive implementation work.

omp (oh my pi) is an AI coding agent platform designed to give developers a fully integrated environment for software development, debugging, automation, and collaboration. Built as an enhanced evolution of the Pi coding harness, it connects AI models directly to language servers, debuggers, shells, browsers, memory systems, GitHub repositories, and local development tools without relying on separate plugins or external workflows. The platform supports more than 40 AI providers, allowing developers to switch between frontier models, coding plans, local models, and self-hosted AI services from a unified interface. omp includes advanced capabilities such as structural code editing, intelligent code review, persistent Python and JavaScript execution, browser automation, workflow orchestration, subagents, and collaborative live coding sessions. Developers can debug applications using integrated DAP support, perform semantic code analysis through LSP integration, and automate complex development tasks with specialized built-in tools. Its local memory system allows the agent to retain project knowledge across sessions while maintaining developer control over stored information. omp also introduces innovations such as hash-based code editing, deterministic context compaction, time-traveling stream rules, and content-aware retrieval that improve AI coding accuracy while reducing token usage. Built on a native Rust engine with support for Windows, macOS, and Linux, the platform emphasizes speed, low overhead, and deep integration with local development environments. As an MIT-licensed open-source project, omp gives developers an extensible AI coding platform that can be customized, audited, and expanded to match their own engineering workflows.

MiMo-V2-Flash is a large language model created by Xiaomi that utilizes a Mixture-of-Experts (MoE) framework, combining remarkable performance with efficient inference capabilities. With a total of 309 billion parameters, it activates just 15 billion parameters during each inference, allowing it to effectively balance reasoning quality and computational efficiency. This model is well-suited for handling lengthy contexts, making it ideal for tasks such as long-document comprehension, code generation, and multi-step workflows. Its hybrid attention mechanism integrates both sliding-window and global attention layers, which helps to minimize memory consumption while preserving the ability to understand long-range dependencies. Additionally, the Multi-Token Prediction (MTP) design enhances inference speed by enabling the simultaneous processing of batches of tokens. MiMo-V2-Flash boasts impressive generation rates of up to approximately 150 tokens per second and is specifically optimized for applications that demand continuous reasoning and multi-turn interactions. The innovative architecture of this model reflects a significant advancement in the field of language processing.

Xiaomi MiMo-V2-Pro is an advanced AI foundation model engineered to support real-world agentic workloads and complex workflow orchestration. It serves as the central intelligence for agent systems, enabling seamless coordination of coding, search, and multi-step task execution. The model is built on a large-scale architecture with over a trillion parameters, supporting extended context lengths for handling complex scenarios. It demonstrates strong benchmark performance, particularly in coding and agent-based evaluations, placing it among top-tier global models. MiMo-V2-Pro is optimized for real-world usability, focusing on reliability, efficiency, and practical task completion rather than just theoretical performance. It features improved tool-calling accuracy and stability, making it suitable for integration into production environments. The model also excels in software engineering tasks, offering structured reasoning and high-quality code generation. With its ability to handle long-context interactions, it supports advanced workflows across development and automation use cases. Its API accessibility and competitive pricing make it attractive for developers and enterprises. Overall, MiMo-V2-Pro delivers a balance of scale, intelligence, and real-world performance for modern AI applications.

Canopy Wave stands out as an unparalleled inference platform for open models, designed to provide top-notch, dependable, and secure AI services that encompass everything from infrastructure to the development, tuning, and scaling of AI models. Users can effortlessly access a range of high-quality open-source models optimized for performance, security, and speed through its model platform, which features a comprehensive model library spanning various fields and types, allowing direct model calls without the need for additional development or adjustments. The platform’s serverless inference service enables teams to deploy pretrained models using straightforward API calls, ensuring rapid responses, minimal latency, and the elimination of cold start issues, all while leveraging cutting-edge GPUs and edge caching for optimized global performance. For production environments that require enhanced control, dedicated endpoints are available to execute inference at scale, providing exceptional speed and reliability on hardware instances that are exclusively allocated for each user’s needs. This makes Canopy Wave an ideal choice for businesses seeking robust AI solutions tailored to their specific requirements.

MiMo Studio is an online platform that harnesses the capabilities of Xiaomi’s MiMo models, enabling users to engage with sophisticated language models like MiMo-V2-Flash for interactive conversations, augmented search results, reasoning tasks, and coding assistance. This platform serves as a dynamic “AI playground,” allowing users to converse with the model for information retrieval, clarification, code generation or debugging, and idea exploration without the need for software installation. It features web search integration and adjustable modes to alternate between quick responses and more contemplative outputs, catering to complex tasks and assisting developers and creators with a wide range of projects from research to practical applications. Being browser-based, it ensures straightforward online access to Xiaomi’s innovative AI models, empowering users to experiment with extensive reasoning, effective problem-solving, and engaging multi-turn dialogues. Furthermore, this accessibility fosters a collaborative environment where creativity and technology can merge seamlessly, enhancing the user experience.

Xiaomi MiMo-V2.5-Pro is a next-generation open-source AI model designed for advanced reasoning, coding, and long-horizon task execution. It uses a Mixture-of-Experts architecture with over one trillion parameters and a large active parameter set for efficient performance. The model supports an extended context window of up to one million tokens, allowing it to handle complex, multi-step workflows. It is built to perform autonomous tasks, including software development, system design, and engineering optimization. Benchmark results show strong performance across coding, reasoning, and agent-based evaluation tests. MiMo-V2.5-Pro incorporates hybrid attention mechanisms to improve efficiency while maintaining accuracy across long contexts. It is optimized for token efficiency, reducing the computational cost of running complex tasks. The model can integrate with development tools and frameworks to support real-world applications. It is designed to complete tasks that would typically require significant human effort over extended periods. Xiaomi has made the model open source, enabling developers to access and customize it. By combining performance, scalability, and efficiency, MiMo-V2.5-Pro pushes the boundaries of modern AI capabilities.

Xiaomi MiMo-V2.5 is a next-generation open-source AI model that combines agentic intelligence with multimodal capabilities. It is designed to process and understand text, images, and audio within a single architecture. The model uses a sparse Mixture-of-Experts framework with a large parameter count to deliver efficient and scalable performance. It supports a context window of up to one million tokens, allowing it to handle long and complex workflows. MiMo-V2.5 integrates visual and audio encoders to improve perception and cross-modal reasoning. It is capable of performing tasks such as coding, reasoning, and multimodal analysis with strong accuracy. Benchmark results show competitive performance compared to leading AI models in both agentic and multimodal tasks. The model is optimized for token efficiency, balancing performance with lower computational cost. It is designed for real-world applications that require both reasoning and perception. Xiaomi has open-sourced the model, making it accessible for developers and researchers. By combining multimodality, scalability, and efficiency, MiMo-V2.5 pushes forward the development of advanced AI systems.

MiMo-V2-Omni is a powerful multimodal AI model engineered to process and understand multiple types of data, including text, code, and structured inputs, within a unified system. It is designed to power agent-based workflows, enabling the execution of complex, multi-step tasks with improved accuracy and efficiency. The model combines advanced reasoning capabilities with strong tool integration, allowing it to interact with external systems and automate workflows effectively. It supports a wide range of applications, from software development and data analysis to enterprise automation and research tasks. With enhanced contextual understanding, it can maintain coherence across long interactions and complex scenarios. MiMo-V2-Omni is optimized for real-world performance, ensuring reliability in practical use cases rather than just benchmark results. Its architecture enables efficient handling of large-scale tasks while maintaining speed and responsiveness. The model also supports seamless integration into existing platforms and workflows. By combining multimodal understanding with agentic execution, it provides a flexible and scalable solution for modern AI applications. Overall, it delivers a balance of intelligence, versatility, and efficiency for diverse use cases.