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GEMINI 4
Gemini 4 Argon features are aimed at long, multi-step work such as software engineering, enterprise knowledge work and cyber defense. Google announced the model on September 30, 2026, then made it broadly available on October 13. This guide covers the main features, pricing and access, and what to verify before you build on it.
What Is Gemini 4 Argon?
Gemini 4 Argon is the flagship model of Google’s Gemini 4 generation. Google describes it as a frontier model for complex workflows. A company spokesperson said it is larger than Google’s previous “Pro” models.
The rollout had two stages:
- September 30: Google introduced Argon, initially limiting access to trusted cyber defenders through its Fairwind Program while it gathered feedback and continued safety testing.
- October 13: Google opened it to developers, businesses and paying subscribers.
Gemini 4 Argon Features at a Glance
| Feature | What Google says |
|---|---|
| Focus areas | Software engineering, enterprise knowledge work (including legal and finance), defensive cybersecurity |
| Output limit | Up to 1 million tokens per response |
| API model ID | gemini-4-argon |
| Intro API price | $2 per 1M input tokens, $10 per 1M output tokens, until November 30, 2026 |
| Main access points | Gemini API (paid), Google AI Studio, Antigravity, Gemini app, AI Mode in Search |
Key Gemini 4 Argon Features
1. Complex, multi-step workflows
Argon is built for tasks where the model has to plan, work across several steps and return a structured result. That includes long-running agentic work, not just single questions.
2. Coding and software engineering
Coding is the headline use case. Google says more than 100,000 of its employees use Argon through an internal version of Antigravity each month. It cites examples such as helping the YouTube team halve the CPU footprint of its comments frontend, and helping Chrome engineers separate core page handling from a roughly 6-million-line legacy folder.
These are Google’s own examples. Test any generated code and review it for security before shipping.
3. A 1-million-token output limit
Google calls Argon’s 1M-token output limit industry-leading. That is useful for large code generation, long documents and extended agent runs.
4. Knowledge work and cyber defense
Google also positions Argon for enterprise tasks in legal and finance, and for defensive security work. Treat outputs in these areas as assistance, not a replacement for expert review.
How Does Argon Compare on Benchmarks?
Google published benchmark results against rival models, including OpenAI’s Astra and Anthropic’s Opus. The results were mixed. Argon led on several tests but trailed on two of the four coding benchmarks Google listed. These are the company’s own results, so test the model on your actual tasks.
Gemini 4 Argon Pricing and Access
Developers: Argon is available through the paid Gemini API, Google AI Studio, Firebase AI Logic and Android Studio. The introductory price is $2/$10 per million input/output tokens until November 30, 2026, and Google says higher pricing applies afterward. One report says the free API tier excludes Argon.
Consumers: Google AI Pro and Ultra subscribers can use Argon in the Gemini app and AI Mode in Search.
Coding tools: Individual users generally need a Google AI Ultra subscription for Antigravity. Eligible Gemini Enterprise and business plans also have access.
Availability can vary by region and plan, so check the current pricing page before subscribing.
Is Gemini 4 Argon Free?
Mostly no. It requires a paid API tier or a paid subscription, and the low API price is a limited-time introductory rate.
What to Check Before You Use Gemini 4 Argon
- Confirm it appears in your plan or API account.
- Note usage limits and what pricing becomes after November 30.
- Test it on a small, low-risk task first.
- Run tests and security review on any generated code.
FAQ
When was Gemini 4 Argon released?
Announced September 30, 2026, and broadly available October 13, 2026.
What is the Gemini 4 Argon model ID?
gemini-4-argon in the Gemini API.
What are the main Gemini 4 Argon features?
Multi-step workflow handling, strong coding focus, a 1M-token output limit, and enterprise and cybersecurity applications.
Who can use Gemini 4 Argon?
Paid Gemini API developers, Google AI Pro and Ultra subscribers, Ultra users in Antigravity, and eligible business customers.