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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 Command R?

Command's model generates outputs that include accurate citations, which significantly minimize the potential for misinformation while offering additional context from the original materials. It excels in various tasks such as crafting product descriptions, aiding in email writing, and suggesting sample press releases, among other functions. Users can interact with Command by posing multiple questions about a document to categorize it, extract specific details, or tackle general inquiries regarding the content. Addressing several questions related to a single document not only conserves valuable time but also applying this method to thousands of documents can result in considerable time savings for businesses. This collection of scalable models strikes an impressive balance between exceptional efficiency and solid accuracy, enabling organizations to evolve from initial experimentation to fully functional AI applications. By harnessing these advanced capabilities, companies can effectively boost their productivity and refine their operational workflows. In today's fast-paced business environment, such tools are indispensable for maintaining a competitive edge.

Media

Media

Integrations Supported

Bind AI
Azure Marketplace
C#
Cursor
Devin Desktop
Gemini
Gemini 3.5 Flash
Gemini Enterprise
Gemini Spark
Java
JavaScript
OfoxAI
OpenClaw
PHP
Python
R
Ruby
TypeScript
Vercel AI Gateway
XML

Integrations Supported

Bind AI
Azure Marketplace
C#
Cursor
Devin Desktop
Gemini
Gemini 3.5 Flash
Gemini Enterprise
Gemini Spark
Java
JavaScript
OfoxAI
OpenClaw
PHP
Python
R
Ruby
TypeScript
Vercel AI Gateway
XML

API Availability

Has API

API Availability

Has API

Pricing Information

$1.50 per 1M tokens (input)
$1.50/1M input tokens and $7.50/1M output tokens
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

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

gemini.google.com

Company Facts

Organization Name

Cohere AI

Date Founded

2019

Company Location

Canada

Company Website

cohere.com/command

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