Gemini 4 Argon Reviews & Ratings

Gemini 4 Argon

5.0 out of 5 stars

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features 0 out of 5 stars
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Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 5 out of 5 stars
support 5 out of 5 stars

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What is Gemini 4 Krypton?

Gemini 4 Krypton is a reportedly experimental large language model associated with Google DeepMind's next generation of Gemini artificial intelligence systems. Although Google has not officially announced the model, unofficial testing reports suggest that it may represent a more computationally intensive approach to AI reasoning and code generation. The model has been discussed as a potential successor or higher-capability alternative to existing Gemini 4 variants, including Argon and Carbon. Early demonstrations attributed to Krypton highlight its apparent ability to generate complex websites, interactive interfaces, animations, and substantial software implementations from written prompts. Testers have reported that the model sometimes requires considerably longer processing times while generating more extensive code than comparable Gemini systems. These observations have led to speculation that Krypton may prioritize detailed planning, implementation depth, and comprehensive task execution over response speed. Potential applications include full-stack application development, automated programming, interface prototyping, technical problem-solving, and AI-driven software engineering workflows. The model could also support advanced research and autonomous agent development if it incorporates the broader reasoning and multimodal capabilities associated with Google's Gemini platform. Important details such as context window size, API access, supported modalities, pricing, licensing, and official evaluation results have not been publicly verified. If Google releases Krypton with capabilities resembling those shown in early demonstrations, it may offer developers and enterprises another option for tackling computationally demanding programming and reasoning tasks.

What is Gemini 4 Argon?

Gemini 4 Argon is Google's frontier AI model for advanced reasoning and long-horizon workflows across software engineering, enterprise knowledge work, cybersecurity defense, and creative tasks. The model combines coding, multimodal understanding, reasoning, and multi-step execution to address complex professional workloads that may require sustained work across many steps. Google expanded Argon's maximum output from 64,000 tokens to 1 million tokens, allowing it to reason and generate hundreds of thousands of tokens within a single trajectory when required. Google engineers are already using Argon internally for tasks ranging from everyday debugging and algorithm design to large-scale migrations of C and C++ codebases to Rust. On DeepSWE v1.1, which evaluates real-world long-horizon software engineering, Google reports that Gemini 4 Argon achieves a score of 77.9%. The model also scored 51.3% on AutomationBench, a Zapier benchmark measuring end-to-end execution across business functions. Its knowledge-work capabilities include financial research, legal research and drafting, professional chart analysis, document-based workflows, and long-video understanding, with a reported 91.7% score on LVBench. Google has additionally trained Argon for defensive cybersecurity, enabling it to autonomously find, validate, and patch critical software vulnerabilities. Argon tied for first with a reported 68% score on CWE-bench v1 and has been evaluated on vulnerability discovery across complex codebases covering 20 programming languages. Google is using a phased release strategy that begins with trusted cyber defenders through the Fairwind Program while additional safeguards are tested before broader availability. The company plans to expand Gemini 4 Argon to developers, enterprises, and consumers, beginning with paid API customers and Google AI Ultra subscribers.

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Integrations Supported

.NET
Agent Search on Gemini Enterprise Agent Platform
Antigravity CLI
C#
Cursor
Dart
Devin Desktop
Gemini 3.5 Flash
Gemini 3.5 Flash Cyber
Gemini platform
Google AI Studio
Google Antigravity
Hermes Agent
JavaScript
Model Context Protocol (MCP)
PHP
R
Replit
XML
YAML

Integrations Supported

.NET
Agent Search on Gemini Enterprise Agent Platform
Antigravity CLI
C#
Cursor
Dart
Devin Desktop
Gemini 3.5 Flash
Gemini 3.5 Flash Cyber
Gemini platform
Google AI Studio
Google Antigravity
Hermes Agent
JavaScript
Model Context Protocol (MCP)
PHP
R
Replit
XML
YAML

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

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.

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

gemini.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

gemini.com

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

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

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