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Description
Gemini 3.6 Flash is Google’s workhorse Flash model for developers and enterprises building production AI agents at scale. The model is designed to deliver higher quality than Gemini 3.5 Flash while improving token efficiency, latency, and overall task cost. Google says Gemini 3.6 Flash uses 17% fewer output tokens than 3.5 Flash on the Artificial Analysis Index and can show even larger efficiency gains on certain software engineering benchmarks. It is priced lower than 3.5 Flash at $1.50 per 1 million input tokens and $7.50 per 1 million output tokens. Gemini 3.6 Flash improves performance in coding, ML research, computer use, knowledge work, document parsing, chart analysis, report drafting, and data-heavy workflows. The model also supports built-in computer use through the Gemini API and Gemini Enterprise, making it more useful for agentic systems that need to operate across digital environments. Google highlights customer use cases involving financial transcript analysis, code migrations, visual workflows, and interactive design tools. The model includes enhanced Frontier Safety safeguards for CBRN and cyber offense misuse while aiming to reduce unnecessary refusals for beneficial uses. By combining efficiency, stronger reasoning, multimodal ability, computer use, and enterprise availability, Gemini 3.6 Flash gives teams a practical model for scaling AI agents in production.
Description
Reducto serves as an API designed for document ingestion, allowing businesses to transform intricate, unstructured files like PDFs, images, and spreadsheets into organized, structured formats that are primed for integration with large language model workflows and production pipelines. Its advanced parsing engine interprets documents similarly to a human reader, accurately capturing layout, structure, tables, figures, and text regions; an innovative "Agentic OCR" layer then scrutinizes and rectifies outputs in real-time, ensuring dependable results even in complex scenarios. The platform also facilitates the automatic division of multi-document files or extensive forms into smaller, more manageable units, employing layout-aware heuristics to enhance workflows without the need for manual preprocessing. After segmentation, Reducto enables schema-level extraction of structured data, such as invoice details, onboarding documents, or financial disclosures, ensuring that pertinent information is efficiently placed exactly where it is required. The technology begins by utilizing layout-aware vision models to deconstruct the visual framework of the documents, thereby improving the overall accuracy and effectiveness of the data extraction process. Ultimately, Reducto stands out as a powerful tool that significantly enhances document handling efficiency for organizations of all sizes.
API Access
Has API
API Access
Has API
Integrations
HTML
.NET
Bash
C++
Factory Droid
Gemini
Gemini Enterprise Agent Platform Notebooks
Gemini Spark
Go
Google
Integrations
HTML
.NET
Bash
C++
Factory Droid
Gemini
Gemini Enterprise Agent Platform Notebooks
Gemini Spark
Go
Google
Pricing Details
$1.50 per 1M tokens (input)
$1.50/1M input tokens and $7.50/1M output tokens
Free Trial
Free Version
Pricing Details
$0.015 per credit
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
Founded
1998
Country
United States
Website
gemini.google.com
Vendor Details
Company Name
Reducto
Country
United States
Website
reducto.ai/