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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

Screenshots View All

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 
R Yes 
Ruby Yes 
Rust Yes 
SQL Yes 
Scala Yes 
Solidity Yes 
Swift Yes 
TypeScript Yes 
XML Yes 
YAML 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 
R Yes 
Ruby Yes 
Rust Yes 
SQL Yes 
Scala Yes 
Solidity Yes 
Swift Yes 
TypeScript Yes 
XML Yes 
YAML 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

Google

Founded

1998

Country

United States

Website

gemini.com

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