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ease
features
design
support

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Description

Gemini 2.5, developed by Google DeepMind, represents a breakthrough in AI with enhanced reasoning capabilities and native multimodality, allowing it to process long context windows of up to one million tokens. The family includes three variants: Pro for complex coding tasks, Flash for fast general use, and Flash-Lite for high-volume, cost-efficient workflows. Gemini 2.5 models improve accuracy by thinking through diverse strategies and provide developers with adaptive controls to optimize performance and resource use. The models handle multiple input types—text, images, video, audio, and PDFs—and offer powerful tool use like search and code execution. Gemini 2.5 achieves state-of-the-art results across coding, math, science, reasoning, and multilingual benchmarks, outperforming its predecessors. It is accessible through Google AI Studio, Gemini API, and Vertex AI platforms. Google emphasizes responsible AI development, prioritizing safety and security in all applications. Gemini 2.5 enables developers to build advanced interactive simulations, automated coding, and other innovative AI-driven solutions.

Description

Gemini 3.1 Flash-Lite, developed by Google, stands out as a highly efficient, multimodal AI model within the Gemini 3 series, specifically crafted for environments demanding low latency and high throughput where both speed and cost efficiency are paramount. Accessible through the Gemini API in Google AI Studio and Vertex AI, this model empowers developers and businesses to seamlessly incorporate sophisticated AI features into their applications and workflows. It is engineered to provide rapid, real-time responses while excelling in reasoning and understanding across various modalities like text and images. Compared to its predecessors, it offers notable enhancements in performance, ensuring quicker initial responses and increased output speeds without sacrificing quality. Additionally, Gemini 3.1 Flash-Lite introduces adjustable “thinking levels,” which grant users the ability to dictate the amount of computational resources allocated for specific tasks, effectively striking a balance between speed, expense, and reasoning depth. This flexibility makes it an invaluable tool for a wide range of applications.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Gemini Enterprise Agent Platform
Google AI Studio
C
C#
CSS
Clojure
Elixir
F#
Gemini Enterprise
HTML
Java
Julia
Python
R
Ruby
Rust
Shiori
Thread Deck
TypeScript
Visual Basic

Integrations

Gemini Enterprise Agent Platform
Google AI Studio
C
C#
CSS
Clojure
Elixir
F#
Gemini Enterprise
HTML
Java
Julia
Python
R
Ruby
Rust
Shiori
Thread Deck
TypeScript
Visual Basic

Pricing Details

No price information available.
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

Google

Founded

1998

Country

United States

Website

deepmind.google/models/gemini/flash-lite/

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-live/

Product Features

Product Features

Alternatives

Alternatives