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Average Ratings 1 Rating

Total
ease
features

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

Ultramarine 1 Flash is a powerful hosted large language model that developers and organizations can access via an API, specifically tailored for enhancing AI-driven professional workflows. It caters to various knowledge work sectors including finance, law, consulting, and operations, facilitating tasks such as research, detailed analysis, and the preparation of documentation. Users can submit prompts to the application and receive either streamed or standard responses, while also utilizing reasoning controls, custom tool calls, and the option to request structured outputs. The API is capable of processing image inputs and is compatible with both OpenAI's chat-completion formats and Anthropic Messages, ensuring versatile integration. Developers can interface with the model through several SDKs, including those from OpenAI and Anthropic, as well as the Claude Agent SDK and Claude Code, and can effectively employ it alongside Paper Instruments' suite of tools for Word, PowerPoint, and Excel. Additionally, the billing structure is based on token usage against a prepaid balance, allowing for flexible financial management of resources. This model represents a significant step forward in the automation of high-level professional tasks, pushing the boundaries of what AI can accomplish in workplace settings.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

CSS Yes 
Claude Agent SDK No 
Gemini 3.5 Flash Yes 
Gemini 3.5 Flash-Lite Yes 
Gemini 3.8 Flash Cyber Yes 
Gemini 3.8 Live Yes 
Gemini Spark Yes 
Google Yes 
Hermes Agent Yes 
JavaScript Yes 
JetBrains Junie Yes 
Model Context Protocol (MCP) Yes 
Objective-C Yes 
OpenAI No 
OpenAI Agents SDK No 
OpenClaw Yes 
PowerShell Yes 
SQL Yes 
Wikis.ai Yes 
XML Yes 

Integrations

CSS No 
Claude Agent SDK Yes 
Gemini 3.5 Flash No 
Gemini 3.5 Flash-Lite No 
Gemini 3.8 Flash Cyber No 
Gemini 3.8 Live No 
Gemini Spark No 
Google No 
Hermes Agent No 
JavaScript No 
JetBrains Junie No 
Model Context Protocol (MCP) No 
Objective-C No 
OpenAI Yes 
OpenAI Agents SDK Yes 
OpenClaw No 
PowerShell No 
SQL No 
Wikis.ai No 
XML 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

$0.15/1M input tokens
Usage is prepaid and billed per token: input costs $0.15 per 1M tokens, cached input costs $0.03 per 1M tokens, and output, including reasoning, costs $0.50 per 1M tokens.
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

Paper Instruments

Founded

2025

Country

United States

Website

www.paperinstruments.com/ultramarine

Product Features

Alternatives

Alternatives