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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 3.8 Flash stands out as Google's most advanced model for Flash, offering substantial enhancements compared to version 3.7 in areas such as software engineering, agent-based tasks, and intricate multi-step reasoning within specialized fields. Designed for extended coding projects and autonomous agents, it adeptly addresses complex engineering challenges in a comprehensive manner, ensuring the reliability essential for critical enterprise autonomy in specialized knowledge areas. This model excels particularly in quantitative and professional disciplines that demand sophisticated analysis and reporting, as well as in multi-step reasoning tasks spanning STEM, humanities, and professional domains. The improvements it showcases arise from a fundamental design decision: Gemini 3.8 Flash intensifies its focus on challenging tasks by conducting additional reasoning steps and utilizing tools iteratively, thus optimizing its performance. When operating at higher effort levels, it may consume more tokens to achieve superior outcomes, while developers also have the option to adjust to lower effort levels for varied results. Overall, this flexibility allows for tailored use based on project needs and desired outcomes.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

C Yes 
C# Yes 
C++ Yes 
CSS Yes 
Gemini Yes 
Gemini Enterprise Yes 
Gemini Enterprise Agent Platform Yes 
Google AI Studio Yes 
HTML Yes 
Java Yes 
JavaScript Yes 
Kotlin Yes 
Python Yes 
R Yes 
Ruby Yes 
Rust Yes 
SQL Yes 
Scala Yes 
TypeScript Yes 
Google Antigravity No 

Integrations

C Yes 
C# Yes 
C++ Yes 
CSS Yes 
Gemini Yes 
Gemini Enterprise Yes 
Gemini Enterprise Agent Platform Yes 
Google AI Studio Yes 
HTML Yes 
Java Yes 
JavaScript Yes 
Kotlin Yes 
Python Yes 
R Yes 
Ruby Yes 
Rust Yes 
SQL Yes 
Scala Yes 
TypeScript Yes 
Google Antigravity Yes 

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 Yes 
iPad App Yes 
Android App Yes 
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

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

Vendor Details

Company Name

Google

Country

United States

Website

google.com

Alternatives

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