Average Ratings 1 Rating

Total
ease
features
design

Average Ratings 1 Rating

Total
features

Description

Grok 4.6 is an advanced xAI model built for long-running agents, coding, knowledge work, interactive applications, and visual project creation. It improves on Grok 4.5 with a focus on staying with complex tasks across many steps, whether the user is researching a topic, analyzing information, working across a codebase, or building a polished application. The model was trained through a longer supplemental run that used curated model-generated reasoning data, advanced technical concepts, engineering data, and an improved training recipe. Grok 4.6 was also trained with SFT and RL across domains such as STEM, software engineering, knowledge work, kernel optimization, web development, computer-aided design, and agentic coding. It is designed to turn ambitious ideas into working projects by researching unfamiliar domains, defining application structure, building core interactions, and iterating through feedback. The model shows stronger first passes on visual and interactive projects, helping users establish structure and visual language more quickly. Grok 4.6 also demonstrates more self-testing and verification during longer trajectories. It is available through Cursor, Grok Build, the xAI API, OpenRouter, Vercel, Cloudflare, and other partners, with pricing starting at $2 per million input tokens and $6 per million output tokens. By combining frontier reasoning, agentic coding, long-running task execution, visual project generation, API access, and broad developer availability, Grok 4.6 helps builders move from idea to working software faster.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

.NET
Bash
C
C#
C++
CSS
Cursor
Dart
GitHub Copilot
Grok Imagine Image 2.0
HTML
JavaScript
Microsoft Foundry
Python
R
Ruby
Scala
Solidity
SuperGrok
Visual Studio Code

Integrations

.NET
Bash
C
C#
C++
CSS
Cursor
Dart
GitHub Copilot
Grok Imagine Image 2.0
HTML
JavaScript
Microsoft Foundry
Python
R
Ruby
Scala
Solidity
SuperGrok
Visual Studio Code

Pricing Details

$2 per 1M tokens (input)
$2 per million input tokens and $6 per million output tokens
Free Trial
Free Version

Pricing Details

No price information available.
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

SpaceXAI

Founded

2023

Country

United States

Website

grok.com

Vendor Details

Company Name

Microsoft AI

Founded

2024

Country

United States

Website

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

Product Features

Alternatives

Claude Fable 5 Reviews

Claude Fable 5

Anthropic

Alternatives

Claude Opus 5 Reviews

Claude Opus 5

Anthropic
Grok 4.5 Reviews

Grok 4.5

SpaceXAI
MAI-Code-1.1-Flash Reviews

MAI-Code-1.1-Flash

Microsoft AI
Claude Mythos 5 Reviews

Claude Mythos 5

Anthropic
Kimi K2.7 Code Reviews

Kimi K2.7 Code

Moonshot AI