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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.

What is Dell EMC Flash Storage?

Flash storage is transforming IT operations for organizations of all sizes. Its adoption of all-flash solutions provides significant benefits, such as lower latency, increased IOPS per drive, consolidation of workloads, reduced hardware space, diminished power usage, and lower management expenses. Although many businesses are already reaping the rewards of flash storage, others are hesitant to embrace it due to concerns over whether the benefits outweigh the costs involved. Dell EMC presents a diverse selection of all-flash arrays designed to tackle the challenges faced by modern flash-centric data centers while also simplifying, automating, and consolidating IT processes in an economical way. Performance enhancement remains a crucial element, as companies utilizing flash storage have reported an average speed improvement of 36%, along with a remarkable 49% increase in application performance for those implementing all-flash solutions. As additional organizations investigate the potential of flash technology, discussions about its value and effectiveness are becoming increasingly nuanced. The continuous advancements in flash storage technology promise even greater efficiencies and capabilities in the future.

Media

Media

Integrations Supported

Bash
C#
Dart
Devin Desktop
Gemini 3.5 Flash
Gemini 3.5 Flash Cyber
Gemini 3.5 Flash-Lite
Go
Google
JetBrains Junie
Lua
Objective-C
OfoxAI
OpenClaw
OpenTag
PowerShell
Rust
SQL
TypeScript
XML

API Availability

Has API

API Availability

Pricing Information

$1.50 per 1M tokens (input)
$1.50/1M input tokens and $7.50/1M output tokens

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

gemini.google.com

Company Facts

Organization Name

Dell Technologies

Company Location

United States

Company Website

www.dell.com/en-us/dt/learn/data-storage/flash-storage.htm

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

AI Vision Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Categories and Features

Hybrid Cloud Storage

Not specified

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