Gemini 4 Argon is now available in the Gemini app and AI Mode in Search for Pro and Ultra subscribers, with pricing and future rollout details to come.
Google is expanding access to its frontier AI model, Gemini 4 Argon, to Pro and Ultra subscribers through the Gemini app and AI Mode in Search. The rollout follows a limited test with trusted cyber defenders and includes access via Antigravity for Ultra users on macOS. Pricing starts at $2 per million input tokens and $10 per million output tokens, with prices set to double after November 30.
Argon aims to improve reasoning on complex tasks across coding, cybersecurity, finance, and more, with faster responses and less hedging. It’s designed to work across Google apps and external services to help users complete multi-step projects more efficiently.
What this means for you: if you rely on advanced AI for work, Argon could speed up big tasks. If you’re a casual user, there’s no immediate access or simple pricing yet. Expect more rollout details and pricing for wider audiences after November 30.
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Google is rolling out its frontier AI model Gemini 4 Argon beyond a narrow tester group, making it accessible through the Gemini app and the AI Mode in Search for its Pro and Ultra subscribers. The rollout follows a limited release to trusted cyber defenders earlier this month and marks Google’s bid to compete at the cutting edge of AI with a model designed for complex tasks.
Argon is positioned as a step up in “frontier reasoning,” aiming to cut down on hedging, repetition, and clichés while handling difficult workflows in coding, cybersecurity, finance, and more. Google says Argon can tackle tasks that mix multiple domains, from software engineering to legal and scientific work, with updates rolling into the Gemini app and Antigravity, Google’s agentic coding interface for developers.
In practical terms, Argon will be accessible to Google AI Pro and Ultra subscribers via the Gemini app and the AI Mode in Search. It will also be available to Ultra subscribers through Antigravity, a platform described as an agentic development environment. The company has not yet announced a release date for Plus subscribers or free users, and pricing details are currently listed as introductory terms that could shift after November 30.
Google’s own benchmarks and hands-on notes describe Argon as faster in its answers, with less unnecessary hedging and fewer repetitive phrases. When tasks stretch across several steps, Argon is designed to share progress in real time, so users don’t feel left waiting. Google also highlighted improvements in its coding capabilities, including the ability to switch more easily between chatting and coding with an integrated Antigravity interface in the Gemini macOS app.
Pricing for Argon in the public rollout is described in tokens rather than a flat monthly price. The introductory terms are $2 per million input tokens and $10 per million output tokens, with costs set to double after November. The exact total cost will depend on how intensively you use Argon and what tasks you run, but the price is pitched as competitive against other frontier models in the market.
What this means for everyday users is nuanced. If you’re a Pro or Ultra subscriber who depends on high-end AI for coding, data analysis, or complex research, Argon could speed up workflows and reduce the number of back-and-forths you experience with AI assistants. If you’re a casual user or a developer waiting for broader access or different pricing, there will be a wait-and-see period as Google tests risk controls and user demand across regions and apps.
For now, Argon’s reach remains tied to Google’s higher-tier subscriptions and its developer tools. The company notes Argon is already integrated with Google apps and external services in its new task-focused mode, helping users accomplish activities like coding, cybersecurity, and business tasks more efficiently.
Argon is available to Pro and Ultra subscribers through the Gemini app and AI Mode in Search. Ultra subscribers can access the model via Antigravity, Google’s agentic coding interface in the macOS app. There’s no word yet on when Plus subscribers or free users will get access, or what the pricing will look like for those tiers.
Google emphasizes Argon’s ability to handle multi-step, cross-domain tasks. In coding scenarios, it can work with Antigravity’s coding interface. In other workflows, Argon is designed to provide more direct answers, with progress updates during longer tasks and fewer clichés in responses. Google also positions Argon as a tool to accelerate internal uses, such as patching cybersecurity vulnerabilities or debugging simulation environments, before broad consumer availability.
Introductory pricing is token-based, which can complicate direct comparisons with monthly subscription models. If you rely on Argon intensively, the costs could add up, especially since prices double after November. For casual users, the current rollout may not impact you unless you’re a subscriber who frequently uses frontier AI features for work or advanced projects.
Google plans to extend Argon to more users and potentially adjust pricing after the November 30 cutoff. The company has not published a concrete timeline for broader availability beyond Pro and Ultra or for expanding supported apps and regions beyond the Gemini app and AI Mode in Search.
When is Argon available to everyone?
Right now it’s limited to Pro and Ultra subscribers, with no announced date for Plus or free users.
How much does Argon cost?
Introductory pricing is $2 per million input tokens and $10 per million output tokens; prices double after November 30.
What apps or platforms support Argon?
Argon is accessible in the Gemini app and AI Mode in Search for Pro and Ultra subscribers, with Antigravity available to Ultra users on macOS.
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