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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
Hinoki Offensive One (HO1) is a specialized AI model in the field of cybersecurity, tailored for offensive security operations while also facilitating defensive testing and research initiatives. This innovative tool is readily available through a range of developer platforms, such as Claude Code, OpenAI Codex, OpenCode, Visual Studio Code, and Cursor, allowing security experts to seamlessly integrate it into their coding and agent workflows. The official product site highlights its ability to perform multi-step task execution and its assessments against various cybersecurity benchmarks. HO1 is specifically designed for use by security researchers, penetration testers, and defenders who conduct authorized evaluations, vulnerability research, and security testing. Given its offensive features, it emphasizes the necessity of clear authorization, established safeguards, and responsible-use policies during deployment. Additionally, Hinoki provides comparative analyses with other cybersecurity-oriented and general-purpose AI models, aiding technical users in evaluating the model's performance for security-related activities. The emphasis on responsible deployment ensures that ethical considerations remain at the forefront of its usage.
API Access
Has API
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
Cursor
Yes
Agent Search on Gemini Enterprise Agent Platform
Yes
Android Studio
Yes
Bash
Yes
Bind AI
Yes
C++
Yes
Dart
Yes
Gemini 3.5 Flash
Yes
Gemini Spark
Yes
Google
Yes
Integrations
Cursor
Yes
Agent Search on Gemini Enterprise Agent Platform
No
Android Studio
No
Bash
No
Bind AI
No
C++
No
Dart
No
Gemini 3.5 Flash
No
Gemini Spark
No
Google
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
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Founded
1998
Country
United States
Website
gemini.com
Vendor Details
Company Name
Hinoki
Founded
2026
Country
United States
Website
hinoki.security/