Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 1 Rating

Total
features

Description

Gemini 3.5 Flash-Lite stands out as the quickest model within Google's Gemini 3.5 lineup, specifically engineered for tasks requiring low latency and for enhancing developer workflows that demand high throughput, including agentic search, document processing, coding, and extensive data analysis. It boasts an impressive output capacity of 350 tokens per second and marks a significant enhancement over earlier Flash-Lite iterations in terms of both quality and agentic capabilities. Developers have the flexibility to adjust the model's thinking level to suit the demands of the task at hand: minimal or low thinking allows for rapid processing of large volumes, while elevated thinking levels accommodate more intricate, multi-step workflows involving subagents. Furthermore, the model is equipped with built-in computational skills, enabling it to interact effectively with various digital environments across compatible platforms. Additionally, Gemini 3.5 Flash-Lite excels in coding, comprehending long contexts, and executing real-world tasks, consistently outperforming its predecessor, Gemini 3.1 Flash-Lite, in critical assessments and even exceeding the performance of Gemini 3 Flash on multiple benchmarks related to agentic functions and software engineering. This impressive performance highlights its potential to transform how developers approach complex workflows and data-intensive tasks.

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 Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

.NET Yes 
CSS Yes 
Devin Desktop Yes 
Factory Droid Yes 
Gemini 3.5 Flash Cyber Yes 
Gemini 3.6 Flash Yes 
Gemini 3.8 Flash Yes 
Gemini Enterprise Yes 
Gemini Enterprise Agent Platform Notebooks Yes 
Google AI Studio Yes 
Google AI Ultra Yes 
HTML Yes 
Kotlin Yes 
Microsoft Azure No 
OfoxAI Yes 
OpenTag Yes 
PHP Yes 
Python Yes 
Visual Studio Code No 
YAML Yes 

Integrations

.NET No 
CSS No 
Devin Desktop No 
Factory Droid No 
Gemini 3.5 Flash Cyber No 
Gemini 3.6 Flash No 
Gemini 3.8 Flash No 
Gemini Enterprise No 
Gemini Enterprise Agent Platform Notebooks No 
Google AI Studio No 
Google AI Ultra No 
HTML No 
Kotlin No 
Microsoft Azure Yes 
OfoxAI No 
OpenTag No 
PHP No 
Python No 
Visual Studio Code Yes 
YAML No 

Pricing Details

$0.30 per 1M input tokens
$0.30/1M input tokens and $2.50/1M output tokens
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

gemini.google.com

Vendor Details

Company Name

Microsoft AI

Founded

2024

Country

United States

Website

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

Product Features

Alternatives

Alternatives

MAI-Code-1.1-Flash Reviews

MAI-Code-1.1-Flash

Microsoft AI
GPT-5.6 Sol Reviews

GPT-5.6 Sol

OpenAI
Kimi K2.7 Code Reviews

Kimi K2.7 Code

Moonshot AI