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Description

Gemini 4 Carbon is a frontier AI model developed by Google DeepMind to support advanced cybersecurity defense, autonomous software engineering, and complex reasoning tasks. The model builds on Gemini 4 Argon with improvements in coding accuracy, long-running agent workflows, scientific problem-solving, and multimodal understanding. Its cybersecurity capabilities include identifying software vulnerabilities, validating exploitability, analyzing security risks, and generating code patches that address underlying defects. Gemini 4 Carbon achieved 88.2% on SEC-bench Pro for vulnerability detection, 54.8% on ExploitGym for exploit validation, and 71.0% on CWE-bench for vulnerability remediation in Google's reported evaluations. Its long-horizon agentic capabilities allow the model to investigate complex engineering problems, navigate dead ends, and coordinate tasks that may require extended execution. Software development features include repository-level debugging, secure code generation, full-stack web development, and automated remediation of difficult programming issues. The model also includes improved factual reliability, prompt injection resistance, instruction following, and safeguards against unintended actions. Google reports that Gemini 4 Carbon ranks first on the Artificial Analysis Intelligence Index version 5.0 with a score of 59.

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 Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Bash Yes 
Cursor Yes 
Devin Desktop Yes 
Gemini 3.8 Flash Cyber Yes 
Gemini Enterprise Agent Platform Yes 
Go Yes 
Google Yes 
Google AI Mode Yes 
Google AI Plus Yes 
Google AI Ultra Yes 
JavaScript Yes 
Kubernetes Yes 
Model Context Protocol (MCP) Yes 
PHP Yes 
Python Yes 
Replit Yes 
Ruby Yes 
SQL Yes 
Scala Yes 
XML Yes 

Integrations

Bash No 
Cursor No 
Devin Desktop No 
Gemini 3.8 Flash Cyber No 
Gemini Enterprise Agent Platform No 
Go No 
Google No 
Google AI Mode No 
Google AI Plus No 
Google AI Ultra No 
JavaScript No 
Kubernetes No 
Model Context Protocol (MCP) No 
PHP No 
Python No 
Replit No 
Ruby No 
SQL No 
Scala No 
XML No 

Pricing Details

$2 per 1M tokens (input)
$2 per million input tokens and $10 per million output tokens, with cached input tokens priced at 95% off input token price.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

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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