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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

MAI-Code-1-Flash is an innovative coding model developed by Microsoft, aimed at providing quick and effective support for developers in their daily tasks. This model, which has been meticulously created using clean and properly licensed data, is being introduced to GitHub Copilot individual users within Visual Studio Code via the model picker and the default Auto picker. Its primary objective is to enhance the quality of coding assistance while boosting efficiency, enabling engineering teams to produce superior code at a faster pace through a streamlined, agentic model seamlessly integrated into GitHub Copilot and VS Code. Notably, MAI-Code-1-Flash has been trained using GitHub Copilot production harnesses, equipping it to function in real developer settings and interact with various tools and systems rather than being solely fine-tuned for static benchmarks. The model excels in agentic coding, robust instruction-following across both single-turn and multi-turn interactions, answering questions related to repositories, performing refactoring, tackling telemetry-driven tasks, and showcasing adaptive thinking capabilities. In summary, this model represents a significant advancement in coding assistance technology, promising to transform how developers engage with their coding environments.

Description

The Xiaomi MiMo API open platform serves as a developer-centric interface that allows for the integration and access of Xiaomi’s MiMo AI model family, which includes various reasoning and language models like MiMo-V2-Flash, enabling the creation of applications and services via standardized APIs and cloud endpoints. This platform empowers developers to incorporate AI-driven functionalities such as conversational agents, reasoning processes, code assistance, and search-enhanced tasks without the need to handle the complexities of model infrastructure. It features RESTful API access complete with authentication, request signing, and well-structured responses, allowing software to send user queries and receive generated text or processed results in a programmatic manner. The platform also supports essential operations including text generation, prompt management, and model inference, facilitating seamless interactions with MiMo models. Furthermore, it provides comprehensive documentation and onboarding resources, enabling teams to effectively integrate the latest open-source large language models from Xiaomi, which utilize innovative Mixture-of-Experts (MoE) architectures to enhance performance and efficiency. Overall, this open platform significantly lowers the barriers for developers looking to harness advanced AI capabilities in their projects.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Claude Code
GitHub Copilot
MiMo-V2-Flash
MiMo-V2-Omni
MiMo-V2-Pro
MiMo-V2.5
MiMo-V2.5-Pro
Microsoft Azure
Microsoft Foundry
OpenAI
Visual Studio Code
Xiaomi MiMo Studio

Integrations

Claude Code
GitHub Copilot
MiMo-V2-Flash
MiMo-V2-Omni
MiMo-V2-Pro
MiMo-V2.5
MiMo-V2.5-Pro
Microsoft Azure
Microsoft Foundry
OpenAI
Visual Studio Code
Xiaomi MiMo Studio

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Microsoft AI

Founded

2024

Country

United States

Website

microsoft.ai/news/introducingmai-code-1-flash/

Vendor Details

Company Name

Xiaomi Technology

Founded

2010

Country

China

Website

platform.xiaomimimo.com

Product Features

Alternatives

Alternatives

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