MAI-Code-1.1-Flash

MAI-Code-1.1-Flash

Microsoft AI
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About

DeepSeek-V4-Flash is a high-efficiency Mixture-of-Experts (MoE) language model designed for fast, scalable reasoning and text generation. It features 284 billion total parameters with 13 billion activated parameters, delivering strong performance while optimizing computational cost. The model supports an extensive context window of up to one million tokens, enabling it to process large documents and complex workflows with ease. Its hybrid attention architecture enhances long-context efficiency by reducing memory and compute requirements. Trained on over 32 trillion tokens, DeepSeek-V4-Flash demonstrates solid capabilities across knowledge, reasoning, and coding tasks. It is designed for scenarios where speed and efficiency are critical, offering a balance between performance and resource usage. The model also supports multiple reasoning modes, allowing users to adjust between faster outputs and deeper analysis.

About

MAI-Code-1.1-Flash is a small, efficient coding model designed to help engineering teams write better code faster. Now in production in GitHub Copilot and built into VS Code, it focuses on real-world developer workflows, with particular improvements for command-line tasks and .NET development based on developer feedback. Compared with the version introduced at Microsoft Build in June, the model produces higher-quality code while using fewer tokens and streaming responses faster. Microsoft reports a 22% improvement on Terminal-Bench 2.1 in GitHub Copilot CLI and a 15% improvement on .NET tasks. Production results also showed a 4% increase in code survival and a 9% increase in return visits. In GitHub Copilot, tokens stream 25% faster and the model uses 25% fewer tokens to complete a task, aiming to deliver faster answers, less waiting, and more useful work from every token. Its gains come from improved training and serving efficiency, with optimization centered on real-world use.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers, startups, and enterprises looking for a cost-efficient, scalable language model for fast inference, long-context processing, and real-world AI applications

Audience

Software engineering teams and developers seeking to write and complete code faster with an efficient AI coding model integrated into their development workflow

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$0.14 per 1M tokens (input)
DeepSeek V4 Flash API pricing per 1 million tokens is $0.14 for regular cache-miss inputs, $0.0028 for cache-hit inputs, and $0.28 for outputs.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
features 4.0 / 5

Reviews/Ratings

Overall 4.0 / 5
features 4.0 / 5

Pros & Cons from Real Users

Pros

  • DeepSeek-V4-Flash is really compelling because it feels built for developers who care about performance and cost at the same time. A 1M-token context window, open weights, and a low active-parameter MoE setup make it interesting for repo analysis, long-context coding, document-heavy agents, and high-volume automation.

Cons

  • I would still test it carefully before trusting it in production. Cheap inference is great, but coding agents need reliability, strong tool use, clean multi-file edits, good recovery from mistakes, and consistent behavior over long tasks.

Pros & Cons from Real Users

Pros

  • The agentic coding angle is the best part. It can plan, reason, and execute across coding tasks, which makes it useful beyond simple autocomplete. I also like the screenshot-to-prototype feature. Being able to understand screenshots, diagrams, and designs could save a lot of time when turning UI ideas into working code.

Cons

  • The main downside is that I would still review everything carefully. Even a strong coding model can make bad assumptions, miss edge cases, or produce code that looks right but fails in a real project.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

DeepSeek
Founded: 2023
China
deepseek.com

Company Information

Microsoft AI
Founded: 2024
United States
microsoft.ai/news/mai-code-1-1-flash-br-better-faster-at-a-quarter-of-the-cost/

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MAI-Code-1-Flash

MAI-Code-1-Flash

Microsoft AI
DeepSeek-V4

DeepSeek-V4

DeepSeek

Categories

Categories

Integrations

.NET
Buda
Cline
ClinePass
DeepSeek
DeepSeek-V4
GitHub Copilot
Microsoft Azure
Microsoft Foundry
Novita AI
OpenClaw
Oxlo.ai
SnapVee Studio
Together AI
Vercel AI Gateway
Visual Studio Code
ZooClaw

Integrations

.NET
Buda
Cline
ClinePass
DeepSeek
DeepSeek-V4
GitHub Copilot
Microsoft Azure
Microsoft Foundry
Novita AI
OpenClaw
Oxlo.ai
SnapVee Studio
Together AI
Vercel AI Gateway
Visual Studio Code
ZooClaw
Claim DeepSeek-V4-Flash and update features and information
Claim DeepSeek-V4-Flash and update features and information
Claim MAI-Code-1.1-Flash and update features and information
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