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What is Gemma 4?

Gemma 4 is a modern AI model introduced by Google and built on the Gemini architecture to provide enhanced performance and flexibility for developers and researchers. The model is designed to run efficiently on a single GPU or TPU, which makes powerful AI capabilities more accessible without requiring large-scale infrastructure. Gemma 4 focuses heavily on improving natural language understanding and text generation, enabling it to support a wide range of AI-powered applications. These capabilities allow developers to build systems such as conversational assistants, intelligent search tools, and automated content generation platforms. The architecture behind Gemma 4 enables the model to process language with greater accuracy while maintaining efficient computational requirements. This balance between performance and efficiency allows developers to experiment with advanced AI features without the need for extremely large computing environments. Gemma 4 is designed to be scalable so it can support both small development projects and larger enterprise applications. Researchers can also use the model to explore new approaches to machine learning and language processing. The model’s ability to run on widely available hardware makes it practical for organizations that want to integrate AI into their workflows. By combining strong language capabilities with efficient deployment requirements, Gemma 4 helps broaden access to advanced AI technology. Its design reflects a growing focus on creating models that are both powerful and practical for real-world use. As a result, Gemma 4 supports the continued expansion of AI applications across industries and research fields.

What is Gemini 3.6 Flash?

Gemini 3.6 Flash is a new Google Gemini model designed for efficient, high-quality AI agents and production workloads. It builds on Gemini 3.5 Flash with improvements in coding, knowledge work, multimodal understanding, computer use, and complex workflow execution. Google positions Gemini 3.6 Flash as the workhorse model in the Flash series, optimized for the balance of quality, speed, reliability, and cost. The model is designed to reduce verbosity, use fewer output tokens, take fewer reasoning steps, and require fewer tool calls during multi-step tasks. Google says Gemini 3.6 Flash uses 17% fewer output tokens than 3.5 Flash on the Artificial Analysis Index and can reduce output usage even more on some coding benchmarks. It is priced at $1.50 per 1 million input tokens and $7.50 per 1 million output tokens, giving developers a lower-cost option for agentic workflows than 3.5 Flash. Gemini 3.6 Flash shows gains in benchmarks for software engineering, ML research, computer use, and knowledge work. It can support use cases such as code migration, document parsing, financial data analysis, chart interpretation, report drafting, visual interface building, and multi-agent orchestration. Built-in computer use is available through the Gemini API and Gemini Enterprise, helping agents interact with digital tools more reliably. Google also says the model ships with enhanced Frontier Safety safeguards for CBRN and cyber offense misuse while minimizing refusals for beneficial use cases. By combining lower cost, stronger task performance, multimodal understanding, built-in computer use, and safety improvements, Gemini 3.6 Flash is built for teams that need scalable AI agents across software, enterprise, and productivity workflows.

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Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$1.50 per 1M tokens (input)
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

deepmind.google/models/gemma/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

gemini.google.com

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