Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Gemini Enterprise Agent Platform Reviews & Ratings
    1,161 Ratings
    Company Website
  • LTX Reviews & Ratings
    182 Ratings
    Company Website
  • Evertune Reviews & Ratings
    1 Rating
    Company Website
  • Gemini Credit Card Reviews & Ratings
    2 Ratings
    Company Website
  • Gushwork Reviews & Ratings
    29 Ratings
    Company Website
  • AthenaHQ Reviews & Ratings
    50 Ratings
    Company Website
  • Google Workspace Reviews & Ratings
    69,271 Ratings
    Company Website
  • HubSpot AEO Reviews & Ratings
    151 Ratings
    Company Website
  • Google Cloud BigQuery Reviews & Ratings
    2,027 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website

What is Gemini 4 Carbon?

Gemini 4 Carbon is an advanced multimodal artificial intelligence model developed by Google DeepMind for cybersecurity research, software engineering, long-horizon autonomous agents, and complex analytical workflows. The model builds on Gemini 4 Argon with improvements in reasoning, coding, scientific tasks, multimodal understanding, and sustained execution of multistep engineering projects. Its cybersecurity capabilities cover the vulnerability management lifecycle, including identifying software weaknesses, verifying exploitability, and generating patches that address underlying security flaws. In Google's published evaluations, Gemini 4 Carbon achieved 88.2% on SEC-bench Pro for vulnerability discovery, 54.8% on ExploitGym for exploit validation, and 71.0% on CWE-bench for vulnerability remediation. Internal evaluations also showed more than twice the secure code generation success rate of Gemini 4 Argon. The model supports long-running agentic workflows that can investigate difficult bugs, analyze large software repositories, and perform iterative problem-solving across extended execution periods. Its software development capabilities include code generation, debugging, low-level systems analysis, full-stack web development, and automated implementation of complex engineering tasks. Gemini 4 Carbon incorporates a multilayered safety architecture with misuse prevention, prompt injection defenses, behavioral monitoring, and controls intended to reduce unauthorized actions. Google reports improvements in factual reliability, task completion, and instruction alignment, including approximately half as many unsupported claims compared with Gemini 4 Argon in internal evaluations.

What is CodeMender?

CodeMender, an advanced AI-powered tool developed by DeepMind, is designed to automatically identify, analyze, and rectify security vulnerabilities found within software code. By leveraging the sophisticated reasoning capabilities of the Gemini Deep Think models alongside various analytical methods—such as static and dynamic analysis, differential testing, fuzzing, and SMT solvers—it adeptly uncovers the root causes of issues, formulates high-quality solutions, and ensures that these fixes are validated to avert regressions or functional failures. The functionality of CodeMender includes proposing patches that adhere to predefined style guidelines and maintain the overall structural integrity of the code; it also utilizes critique and verification agents to evaluate its modifications and self-correct when problems are detected. Furthermore, CodeMender has the capability to actively refactor existing code, integrating safer APIs or data structures, like incorporating -fbounds-safety annotations to reduce the risk of buffer overflows. To this point, this remarkable tool has successfully contributed numerous patches to major open-source projects, some of which encompass millions of lines of code, demonstrating its significant potential to enhance software security and reliability. As it continues to evolve, CodeMender is expected to achieve even more remarkable progress in the field of automated code enhancement and safety, revolutionizing how developers approach code quality.

Media

Media

Integrations Supported

Gemini
Gemini 3.5 Flash Cyber
Gemini 3.8 Flash Cyber
Gemini Enterprise
Android Studio
C
Devin Desktop
Gemini 3.5 Flash-Lite
Go
Google AI Overviews
Google AI Plus
Google AI Studio
Hermes Agent
JetBrains Junie
Kubernetes
R
Ruby

Integrations Supported

Gemini
Gemini 3.5 Flash Cyber
Gemini 3.8 Flash Cyber
Gemini Enterprise
Gemma
Google AI Threat Defense
Veo

API Availability

Has API

API Availability

Has API

Pricing Information

$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.

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

gemini.com

Company Facts

Organization Name

Google DeepMind

Date Founded

2010

Company Location

United States

Company Website

deepmind.google/discover/blog/introducing-codemender-an-ai-agent-for-code-security/

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

AI Vision Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Categories and Features

Agentic AI

Not specified

AI Coding Agents

Not specified

Code Security

Not specified

Popular Alternatives

Popular Alternatives

GPT-6.1 Sol Reviews & Ratings

GPT-6.1 Sol

OpenAI
Claude Security Reviews & Ratings

Claude Security

Anthropic
Codename MDASH Reviews & Ratings

Codename MDASH

Microsoft