Google’s Gemini 4 Argon is now available in the Gemini app and AI Mode in Search
Google has made Gemini 4 Argon available to developers through its API and Antigravity, and to Google AI Pro and Ultra subscribers in the Gemini app and Search’s AI Mode. The release expands access to a model Google says can handle demanding work across areas such as coding, finance and cybersecurity.
Argon first went to governments and trusted partners in Google’s Fairwind Program. In the US, Pro costs $20 a month and Ultra starts at $100; API pricing is initially $2 per million input tokens and $10 per million output tokens, doubling after 30 November. Artificial Analysis gives Argon the same 60 per cent Intelligence Index score as OpenAI GPT-6 Astra, while reporting a 60 per cent lower cost per task at introductory prices. Google also says Argon responds faster with fewer hedges and is adding an agentic coding interface to Gemini’s macOS app.
- Gemini 4 Argon is available to developers and Google AI Pro and Ultra subscribers.
- Introductory API prices double after 30 November.
- Google says the model is faster and suited to complex tasks.
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Google Gemini is Google’s family of artificial intelligence models, available through products such as the Gemini app and through tools for developers. Google AI Pro and Ultra are paid subscription plans, while developers can connect to models through an API, a way for software to send requests and receive answers.
Companies including OpenAI also offer general-purpose AI models that can help with tasks such as writing code or analysing information. Comparing models involves factors such as how well they perform, how quickly they respond and what it costs to use them; subscription fees and API charges are separate ways of paying.
AI tools can make mistakes, and performance in a test may not reflect how useful a model is for every task. This matters particularly in areas such as finance and cybersecurity, where people may rely on AI-generated analysis or code.
Both sides, in good faith
The strongest fair case each way — we don't pick a winner.
The case for
Wider access to Argon could give developers and subscribers a capable model for demanding tasks, while the introductory API pricing may make that capability more affordable. Google’s staged release, beginning with governments and trusted partners, also reflects an effort to manage access to a model it says can handle sensitive areas such as cybersecurity.
The case against
Broader availability of a model designed for demanding tasks, including cybersecurity, may increase the risk of misuse even if access was initially limited to trusted groups. Subscribers also face substantial costs for higher tiers, and the introductory API rate doubles after 30 November, so early price comparisons may not reflect the longer-term expense.