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Description

Gemini 3.1 Flash-Lite represents Google’s newest addition to the Gemini 3 family, built specifically for speed and affordability at scale. Engineered for developers managing high-frequency workloads, the model balances performance and cost efficiency without sacrificing quality. It is competitively priced at $0.25 per million input tokens and $1.50 per million output tokens, making it accessible for large production deployments. Compared to Gemini 2.5 Flash, it delivers substantially faster responses, including a 2.5x improvement in time to first token and a 45% boost in output speed. Benchmark evaluations show strong results, with an Elo score of 1432 and leading scores in reasoning and multimodal understanding tests. The model rivals or surpasses similarly tiered competitors while even outperforming some previous-generation Gemini models. A key feature is its adjustable reasoning control, enabling developers to fine-tune how much computational “thinking” is applied to each request. This flexibility makes it ideal for both lightweight tasks like translation and more complex use cases such as dashboard generation or simulation design. Early enterprise adopters have praised its ability to follow instructions accurately while handling complex inputs efficiently. Gemini 3.1 Flash-Lite is currently rolling out in preview within Google AI Studio and Vertex AI for enterprise customers.

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

GitHub Copilot Yes 
Anything Yes 
ClickUp Brain Yes 
Gemini 3 Pro Image Yes 
Gemini 3.1 Flash TTS Yes 
Gemini 3.8 Flash TTS Yes 
Gemini Enterprise Yes 
Gemini Notebook Yes 
GitHub Yes 
Google Cloud Platform Yes 
Kotlin Yes 
Manus AI Yes 
Nano Banana Pro Yes 
NextDocs Yes 
NinjaTools.ai Yes 
OpenTag Yes 
R Yes 
Scala Yes 
Transor Yes 
iMini Yes 

Integrations

GitHub Copilot Yes 
Anything No 
ClickUp Brain No 
Gemini 3 Pro Image No 
Gemini 3.1 Flash TTS No 
Gemini 3.8 Flash TTS No 
Gemini Enterprise No 
Gemini Notebook No 
GitHub No 
Google Cloud Platform No 
Kotlin No 
Manus AI No 
Nano Banana Pro No 
NextDocs No 
NinjaTools.ai No 
OpenTag No 
R No 
Scala No 
Transor No 
iMini No 

Pricing Details

No price information available.
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/

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