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Description
GPT-6.2 Astra is an unannounced AI model reportedly being tested by OpenAI as a potential successor to GPT-6 Astra. References to the model identifier have appeared in Codex usage reports shared by users, although OpenAI has not confirmed the model's development or deployment. The model is expected to build on the Astra family's capabilities in advanced reasoning, autonomous software engineering, and complex task execution. Potential programming capabilities include code generation, debugging, repository analysis, automated testing, and software architecture development. Its anticipated reasoning capabilities may support mathematical problem-solving, scientific analysis, technical research, and extended knowledge work. The model could also support agentic workflows that involve planning, interacting with external tools, executing commands, and evaluating results across multiple steps. Improvements in task persistence, instruction following, and reliable tool use may be important development priorities, although no official evaluations have been published. Reported appearances in Codex usage analytics suggest possible experimental integration with OpenAI's coding environment, but general availability has not been established. OpenAI has not released official details about GPT-6.2 Astra's architecture, context window, API access, pricing, safety evaluations, or release date.
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.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
.NET
Yes
Bash
Yes
CSS
Yes
Devin Desktop
Yes
Gemini Enterprise Agent Platform
Yes
HTML
Yes
Java
Yes
JavaScript
Yes
Kubernetes
Yes
PowerShell
Yes
Integrations
.NET
Yes
Bash
Yes
CSS
Yes
Devin Desktop
Yes
Gemini Enterprise Agent Platform
Yes
HTML
Yes
Java
Yes
JavaScript
Yes
Kubernetes
Yes
PowerShell
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
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
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
OpenAI
Founded
2015
Country
United States
Website
openai.com
Vendor Details
Company Name
Founded
1998
Country
United States
Website
gemini.com