Google Gemini 4 Argon: Frontier Reasoning Model
Google announced its new frontier model Gemini 4 Argon on 30 September 2026, saying it is built to sustain deep reasoning across complex, long-horizon workflows and is rolling out first to a set of trusted cyber defenders through the Fairwind Program
Tool Overview
Features, steps and FAQ below
Features
- ✓ Built for long-horizon deep reasoning: Google says Argon is built to sustain deep reasoning across complex, long-horizon workflows
- ✓ Industry-leading 1M-token limit: Google says it features an industry-leading 1 million token limit for deep, multi-step problem solving
- ✓ Real-world software engineering and knowledge work: Google says it delivers frontier performance across real-world software engineering and enterprise knowledge work such as legal and finance
- ✓ Cybersecurity defense and autonomous patching: Google says Argon excels at coding, financial research, legal drafting and autonomous cybersecurity vulnerability patching
- ✓ First to trusted defenders: Google says Argon is rolling out to a set of trusted cyber defenders through its Fairwind Program
How to Use
- Follow Google's official blog and the Fairwind Program to learn about Argon's availability and how to apply
- Once you have access, hand long-horizon, multi-step complex tasks to Argon
- Use its 1 million token limit for large codebases and legal or financial document analysis
- In security scenarios, pair its vulnerability-patching ability with defensive work
FAQ
What is Gemini 4 Argon?
Google's next-era frontier model announced on 30 September 2026, which Google says anchors its Gemini 4 generation and is built to sustain deep reasoning across complex, long-horizon workflows.
Can I use Gemini 4 Argon now?
Google says Argon is rolling out to a set of trusted cyber defenders through its Fairwind Program, and it did not provide a timeline for public release.
How large is Argon's context window?
Google says it features an industry-leading 1 million token limit for deep, multi-step problem solving.
What is Argon good at?
Google says it delivers frontier performance across real-world software engineering and enterprise knowledge work like legal and finance, and excels at coding, financial research, legal drafting and autonomous cybersecurity vulnerability patching.
How is Argon priced?
Google's blog notes that after the introductory period, pricing is $4 per 1M input tokens and $20 per 1M output tokens.