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support

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Description

Gemini 4 is Google’s upcoming next-generation AI model family and the future successor to its current Gemini 3.x lineup. Google has confirmed that it has started pre-training Gemini 4, describing it as its most ambitious pre-training run so far. The model has not been officially launched, so there are no public API endpoints, pricing details, model cards, benchmark results, or release dates available yet. Gemini 4 is expected to build on the direction of recent Gemini models, including stronger coding, reasoning, multimodal performance, computer use, and agentic workflow support. Google’s current Gemini releases already emphasize efficiency, lower latency, better tool use, and enterprise deployment, and Gemini 4 is likely to extend those priorities at a larger scale. The model may eventually support developers building AI agents, enterprise copilots, coding tools, research assistants, multimodal apps, and knowledge-work automation. It will likely play a role across Google AI Studio, the Gemini API, Gemini Enterprise, Google Cloud, and consumer-facing Gemini experiences once released. For now, Gemini 4 should be treated as a confirmed future model in training rather than an available product. By representing Google’s next major frontier model effort, Gemini 4 signals the company’s continued push toward more capable AI systems for developers, enterprises, and everyday users.

Description

Magma is an advanced AI model designed to seamlessly integrate digital and physical environments, offering both vision-language understanding and the ability to perform actions in both realms. By pretraining on large, diverse datasets, Magma enhances its capacity to handle a wide variety of tasks that require spatial intelligence and verbal understanding. Unlike previous Vision-Language-Action (VLA) models that are limited to specific tasks, Magma is capable of generalizing across new environments, making it an ideal solution for creating AI assistants that can interact with both software interfaces and physical objects. It outperforms specialized models in UI navigation and robotic manipulation tasks, providing a more adaptable and capable AI agent.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

Gemini
Microsoft Azure
Microsoft Foundry

Integrations

Gemini
Microsoft Azure
Microsoft Foundry

Pricing Details

No price information available.
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

Google

Founded

1998

Country

United States

Website

gemini.com

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

ai.azure.com/labs/projects/magma

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