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Average Ratings 0 Ratings

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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

SubQ Snap is a comprehensive hosted multimodal decision-making framework aimed at developers who are creating AI agents and enterprise workflows. By utilizing Subquadratic’s API, applications can transmit both text and image data along with specific inquiries, receiving organized responses that may include labels, choices, scores, and probabilities. This functionality aids in various tasks, such as selecting tools and files, routing decisions, triaging information, implementing guardrails, ranking items, classifying data, and verifying whether a test or result aligns with predetermined criteria. Capable of processing up to 384K tokens of context and accommodating image inputs, the model is specifically crafted for making bounded decisions rather than generating open-ended text, making it an effective complement to language models used for planning or content creation. Furthermore, the public-preview API documentation provides detailed examples of requests, information on accessing the model, and various decision formats that users can leverage. Overall, this innovative approach streamlines the decision-making process for developers, enhancing the efficiency of AI-driven applications.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Agent Search on Gemini Enterprise Agent Platform Yes 
C Yes 
C++ Yes 
Cheaper Inference Yes 
Cursor Yes 
Gemini 3.5 Flash-Lite Yes 
Gemini 3.8 Flash Cyber Yes 
Gemini 3.8 Live Yes 
Gemini Computer Use Yes 
Gemini Spark Yes 
Google AI Plus Yes 
Google AI Studio Yes 
HTML Yes 
Java Yes 
Kotlin Yes 
PowerShell Yes 
Python Yes 
Ruby Yes 
SQL Yes 
YAML Yes 

Integrations

Agent Search on Gemini Enterprise Agent Platform No 
C No 
C++ No 
Cheaper Inference No 
Cursor No 
Gemini 3.5 Flash-Lite No 
Gemini 3.8 Flash Cyber No 
Gemini 3.8 Live No 
Gemini Computer Use No 
Gemini Spark No 
Google AI Plus No 
Google AI Studio No 
HTML No 
Java No 
Kotlin No 
PowerShell No 
Python No 
Ruby No 
SQL No 
YAML 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

$0.05/1M input tokens
$0.05 per 1 million input tokens; output tokens are free. SubQ Snap is in public preview, with access subject to capacity limits.
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 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

Subquadratic

Founded

2025

Country

United States

Website

subq.ai/

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