Ratings and Reviews 1 Rating

Total 4 out of 5 stars
features 4 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Google AI Studio Reviews & Ratings
    4.8 out of 5 stars 42 Ratings
    Company Website for Google AI Studio
  • FinOpsly Reviews & Ratings
    4.7 out of 5 stars 3 Ratings
    Company Website for FinOpsly
  • LTX Reviews & Ratings
    4.4 out of 5 stars 182 Ratings
    Company Website for LTX
  • LM-Kit.NET Reviews & Ratings
    4.8 out of 5 stars 29 Ratings
    Company Website for LM-Kit.NET
  • Planview Software Product Delivery Reviews & Ratings
    5.0 out of 5 stars 2 Ratings
    Company Website for Planview Software Product Delivery
  • JAMS Scheduler Reviews & Ratings
    4.5 out of 5 stars 285 Ratings
    Company Website for JAMS Scheduler
  • Fraud.net Reviews & Ratings
    4.7 out of 5 stars 57 Ratings
    Company Website for Fraud.net
  • Canditech Reviews & Ratings
    5.0 out of 5 stars 111 Ratings
    Company Website for Canditech
  • Gravity Software Reviews & Ratings
    4.5 out of 5 stars 46 Ratings
    Company Website for Gravity Software
  • Hyperproof Reviews & Ratings
    4.6 out of 5 stars 354 Ratings
    Company Website for Hyperproof

What is MAI-Code-1.1-Flash?

MAI-Code-1.1-Flash is a streamlined and powerful coding model designed to boost both the speed and quality of code development specifically for engineering teams. Currently utilized in GitHub Copilot and seamlessly integrated into VS Code, it aligns with the everyday workflows of developers by particularly enhancing command-line functions and .NET operations based on user interactions. In comparison to the version revealed at Microsoft Build in June, this model demonstrates notable advancements in code quality, achieved through lower token consumption and faster streaming responses. Microsoft reports a 22% improvement on Terminal-Bench 2.1 for GitHub Copilot CLI, as well as a 15% enhancement in .NET task performance. Furthermore, production metrics reveal a 4% increase in code survival rates and a 9% rise in user retention on the platform. Impressively, within GitHub Copilot, tokens are streamed 25% more quickly, and the model utilizes 25% fewer tokens to complete tasks, which results in faster responses, shortened wait times, and heightened productivity from each token processed. These improvements arise from refined training approaches and enhanced operational efficiencies, with particular emphasis on practical application in real-world contexts. Ultimately, MAI-Code-1.1-Flash signifies a remarkable advancement in coding assistance technology, paving the way for more efficient development practices. With its emphasis on user experience and real-time feedback, this model is set to redefine how developers interact with coding tools.

What is Hy4?

Hy4 preview is an innovative open-source Mixture-of-Experts model designed for numerous practical productivity applications, such as software development, office tasks, game creation, and scientific research. With an astounding 770 billion parameters and 49 billion activated per token, it features a remarkable 1 million-token context window, enabling it to adeptly handle extensive codebases, large sets of documents, and intricate multi-step operations. The model's architecture incorporates 78 layers that utilize Gated DeepSeek Sparse Attention and IndexCache for efficient sparse index reuse across layers, while identity Hyper-Connections are implemented to improve information flow within the model. Furthermore, a specialized Multi-Token Prediction layer supports speculative decoding, significantly boosting its performance. Hy4 preview is engineered to understand, strategize, troubleshoot, and verify complex engineering initiatives, all while delivering substantial advancements in the quality of front-end visuals and interaction design, ultimately serving as an essential tool for experts in a wide range of fields. This versatility makes it an outstanding choice for professionals seeking to enhance their productivity and efficiency in various projects.

Media

Media

Integrations Supported

.NET
GitHub Copilot
Microsoft Azure
Microsoft Foundry
Visual Studio Code

Integrations Supported

Tencent Hy

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Microsoft AI

Date Founded

2024

Company Location

United States

Company Website

microsoft.ai/news/mai-code-1-1-flash-br-better-faster-at-a-quarter-of-the-cost/

Company Facts

Organization Name

Tencent

Date Founded

1998

Company Location

China

Company Website

hy.tencent.ai/research/hy4-preview

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Popular Alternatives

Claude Fable 5.1 Reviews & Ratings

Claude Fable 5.1

Anthropic
5.0 out of 5 stars

Popular Alternatives

Gemini 4 Hydrogen Reviews & Ratings

Gemini 4 Hydrogen

Google
5.0 out of 5 stars
Claude Fable 5.2 Reviews & Ratings

Claude Fable 5.2

Anthropic
5.0 out of 5 stars
GPT-5.6 Sol Reviews & Ratings

GPT-5.6 Sol

OpenAI
5.0 out of 5 stars
MAI-Code-1-Flash Reviews & Ratings

MAI-Code-1-Flash

Microsoft AI
5.0 out of 5 stars