Gemini 4 Argon Reviews

Gemini 4 Argon

5.0 out of 5 stars

Average Ratings 1 Rating

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

Average Ratings 0 Ratings

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

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Description

Gemini 4 Argon is a frontier AI model from Google DeepMind built to sustain deep reasoning across complex, long-running professional workflows. Google designed the model for demanding work spanning software engineering, finance, legal tasks, enterprise knowledge work, cybersecurity defense, and creative writing. Argon supports coding, reasoning, multimodality, and multi-step task execution, allowing it to work across workflows that require information gathering, analysis, tool use, and extended problem solving. Its output token limit has been increased from 64,000 to 1 million tokens, giving the model additional capacity for lengthy reasoning and generation within a single trajectory. On DeepSWE v1.1, Google reports a score of 77.9% for real-world long-horizon software engineering, while its AutomationBench score of 51.3% measures performance on end-to-end business workflows. Google also reports strong results on evaluations covering finance, legal work, visual analysis, and long-video understanding, including a 91.7% score on LVBench. For cybersecurity teams, Argon can autonomously discover, validate, and patch software vulnerabilities and achieved a reported 68% score on CWE-bench v1. Google is initially providing the model to selected cyber defenders through its Fairwind Program while strengthening safeguards before expanding access to developers, enterprises, and consumers. Argon is planned to launch at an introductory price of $2 per million input tokens and $10 per million output tokens, with cached input tokens receiving a 95% discount from the standard input price.

Description

Gemini 4 Krypton is an unreleased AI model reportedly under development at Google DeepMind, with early discussions positioning it as a potential addition to the Gemini 4 lineup. The model has attracted attention through unofficial demonstrations comparing its performance with Gemini 4 Argon and Gemini 4 Carbon. These demonstrations suggest that Krypton may be optimized for demanding programming assignments, advanced reasoning, and the creation of complex digital experiences. Reported examples include generating interactive web applications, detailed user interfaces, animated content, and substantial amounts of executable code. Some early testers claim that Krypton spends significantly more time processing requests and produces larger implementations than other Gemini models. This approach could make it particularly useful for software development projects that require extensive planning, iterative refinement, and multiple interconnected components. As a member of the Gemini family, Krypton may incorporate capabilities associated with Google's multimodal AI research and intelligent agent development. However, Google has not officially confirmed the model's architecture, supported input formats, benchmark performance, pricing, or public availability. If these reported capabilities are validated, Gemini 4 Krypton could become a powerful option for developers and organizations working on sophisticated AI-assisted programming and automation projects.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

.NET Yes 
Agent Search on Gemini Enterprise Agent Platform Yes 
Android Studio Yes 
C Yes 
CSS Yes 
Dart Yes 
Gemini Yes 
Gemini 3.5 Flash Yes 
Gemini 3.5 Flash Cyber Yes 
Gemini Computer Use Yes 
Gemini Enterprise Agent Platform Notebooks Yes 
Google AI Ultra Yes 
Hermes Agent Yes 
Kotlin Yes 
Model Context Protocol (MCP) Yes 
OpenClaw Yes 
PHP Yes 
PowerShell Yes 
Rust Yes 
Vercel AI Gateway Yes 

Integrations

.NET Yes 
Agent Search on Gemini Enterprise Agent Platform Yes 
Android Studio Yes 
C Yes 
CSS Yes 
Dart Yes 
Gemini Yes 
Gemini 3.5 Flash Yes 
Gemini 3.5 Flash Cyber Yes 
Gemini Computer Use Yes 
Gemini Enterprise Agent Platform Notebooks Yes 
Google AI Ultra Yes 
Hermes Agent Yes 
Kotlin Yes 
Model Context Protocol (MCP) Yes 
OpenClaw Yes 
PHP Yes 
PowerShell Yes 
Rust Yes 
Vercel AI Gateway Yes 

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

Google

Founded

1998

Country

United States

Website

gemini.com

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