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What is SubQ Snap 1.1?

SubQ Snap is an all-encompassing hosted multimodal decision-making framework designed for developers focused on building AI agents and enterprise workflows. By leveraging Subquadratic’s API, applications are able to send both text and image data along with targeted inquiries, resulting in structured responses that may feature labels, options, scores, and probabilities. This capability supports a multitude of tasks, including tool and file selection, decision routing, information triage, implementation of guardrails, item ranking, data classification, and validation of tests or results against established criteria. The system is adept at processing as many as 384K tokens of context while also handling image inputs, making it distinctly suited for making limited decisions rather than producing open-ended text, thus serving as a valuable enhancement to language models employed for planning or content generation. Additionally, the public-preview API documentation offers comprehensive examples of requests, guidance on how to access the model, and various decision formats available for user utilization. This innovative framework not only simplifies the decision-making process for developers but also significantly boosts the operational efficiency of AI-driven applications, paving the way for more effective workflows. By integrating visual and textual data effectively, SubQ Snap positions itself as a pivotal tool in the evolving landscape of AI technologies.

What is Gemini 4 Argon?

Gemini 4 Argon is Google's frontier AI model for advanced reasoning and long-horizon workflows across software engineering, enterprise knowledge work, cybersecurity defense, and creative tasks. The model combines coding, multimodal understanding, reasoning, and multi-step execution to address complex professional workloads that may require sustained work across many steps. Google expanded Argon's maximum output from 64,000 tokens to 1 million tokens, allowing it to reason and generate hundreds of thousands of tokens within a single trajectory when required. Google engineers are already using Argon internally for tasks ranging from everyday debugging and algorithm design to large-scale migrations of C and C++ codebases to Rust. On DeepSWE v1.1, which evaluates real-world long-horizon software engineering, Google reports that Gemini 4 Argon achieves a score of 77.9%. The model also scored 51.3% on AutomationBench, a Zapier benchmark measuring end-to-end execution across business functions. Its knowledge-work capabilities include financial research, legal research and drafting, professional chart analysis, document-based workflows, and long-video understanding, with a reported 91.7% score on LVBench. Google has additionally trained Argon for defensive cybersecurity, enabling it to autonomously find, validate, and patch critical software vulnerabilities. Argon tied for first with a reported 68% score on CWE-bench v1 and has been evaluated on vulnerability discovery across complex codebases covering 20 programming languages. Google is using a phased release strategy that begins with trusted cyber defenders through the Fairwind Program while additional safeguards are tested before broader availability. The company plans to expand Gemini 4 Argon to developers, enterprises, and consumers, beginning with paid API customers and Google AI Ultra subscribers.

Media

Media

Integrations Supported

OpenAI

Integrations Supported

.NET
Bind AI
C
C++
CSS
Devin Desktop
Gemini 3.5 Flash Cyber
Gemini 3.8 Flash Cyber
Google AI Overviews
Google AI Ultra
Java
JetBrains Junie
Offloop
OfoxAI
OpenClaw
PowerShell
Python
Ruby
XML

API Availability

Has API

API Availability

Has API

Pricing Information

$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.

Pricing Information

$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.

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Subquadratic

Date Founded

2025

Company Location

United States

Company Website

subq.ai/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

gemini.com

Categories and Features

AI Decision Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

AI Vision Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

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