Gemini 4 Argon
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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.
Integrations Supported
Cheaper Inference
Dart
Factory Droid
Gemini 3.5 Flash
Gemini 3.8 Flash Cyber
Gemini Enterprise Agent Platform
Gemini Enterprise Agent Platform Notebooks
Google
Google AI Overviews
Google Antigravity
API Availability
API Availability
Has API
Pricing Information
Free
Open source
Free Version
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
On-Prem
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
Alibaba
Date Founded
1999
Company Location
China
Company Website
qwenlm.github.io/blog/qvq-max-preview/
Company Facts
Organization Name
Date Founded
1998
Company Location
United States
Company Website
gemini.com
Categories and Features
AI Models
Not specified
AI Vision 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