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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
OpenAI Astra is an upcoming AI model concept built for users and organizations that need more capable multimodal reasoning, autonomous execution, and end-to-end task completion. The model would be designed to understand complex instructions, process multiple types of input, use tools, and produce polished outputs across professional workflows. Astra would support advanced use cases such as software engineering, research automation, document analysis, data interpretation, creative generation, enterprise search, and AI agent orchestration. Its multimodal capabilities would allow users to work across text, images, files, interfaces, and potentially voice-based interactions in a more natural way. For developers, Astra could provide a foundation for building AI-native applications, copilots, assistants, and agent systems. For businesses, it could help automate multi-step work that normally spans teams, tools, and long review cycles. The model would likely emphasize reliability, safety, context retention, and stronger task follow-through. Astra would be especially valuable for workflows where users need not only answers, but completed work that can be inspected, refined, and deployed. By combining frontier reasoning, multimodal intelligence, tool use, and agentic execution, OpenAI Astra would help push AI from conversation toward practical collaboration.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Agent Search on Gemini Enterprise Agent Platform
Android Studio
C++
Cursor
Dart
Factory Droid
Gemini Computer Use
Gemini Managed Agents
Go
Google AI Overviews
Integrations
Agent Search on Gemini Enterprise Agent Platform
Android Studio
C++
Cursor
Dart
Factory Droid
Gemini Computer Use
Gemini Managed Agents
Go
Google AI Overviews
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
No price information available.
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
OpenAI
Founded
2015
Country
United States
Website
openai.com