Gemini 4 Argon Reviews & Ratings

Gemini 4 Argon

5.0 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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Ratings and Reviews 1 Rating

Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 5 out of 5 stars
support 5 out of 5 stars

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What is VideoFX?

Google VideoFX represents a groundbreaking initiative from Google Labs that utilizes artificial intelligence to transform written descriptions into short video segments. Powered by Veo, an advanced model from Google DeepMind, this platform is capable of generating high-definition videos at 1080p in various cinematic styles. As a tool still in its experimental stages, VideoFX allows users to produce synthetic videos, but it is imperative to use it responsibly, especially when it involves the portrayal of real people. Since there is a potential for these videos to convey false information, careful evaluation of the generated content is necessary before any application. The capabilities of VideoFX are augmented by Google’s Veo generative model, which features SynthID, an innovative watermarking solution from Google DeepMind that embeds a digital watermark in every video created. While the tool and its suggestion prompts remain in the testing phase, Google monitors user interactions to collect valuable insights, such as tool outputs and usage patterns, as well as feedback from users aimed at future enhancements. This ongoing data collection plays a crucial role in refining the tool, ultimately aiming to improve the user experience progressively. As the platform evolves, it is anticipated that users will see even more advanced functionalities integrated into VideoFX.

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

Veo

Integrations Supported

.NET
C++
Dart
Gemini
Gemini 3.5 Flash Cyber
Gemini 3.5 Flash-Lite
Gemini Enterprise
Gemini Managed Agents
Google
Google AI Plus
Google Antigravity
JavaScript
Objective-C
Offloop
OfoxAI
Scala
Solidity
TypeScript
YAML

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

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

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

labs.google/fx/tools/video-fx

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

gemini.com

Categories and Features

AI Video Generators

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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