Google Makes Gemini 4 Argon Widely Available, With a Half-Price Launch Rate Until 30 November
Google's newest frontier model is now open to developers, businesses and paying app users, at an introductory $2 and $10 per million tokens that doubles once the promotion ends.
Outspoken Digest Technology Desk
Thursday, October 15, 2026/2 min read
Google has moved Gemini 4 Argon out of limited access and put it in front of almost everyone who pays for its AI. In a post dated 13 October, Koray Kavukcuoglu, Google DeepMind's senior vice president and chief AI architect, called it the company's latest frontier model and said developers, enterprises, scientists and consumers can now use it.
The headline for developers is the price, which comes with a catch. The headline for everyone else is that the model is already inside the Gemini app and AI Mode in Search for paying subscribers.
Who can use Gemini 4 Argon now?
Developers and enterprises get it through the Gemini API, Google AI Studio and the wider Gemini platform. Subscribers on Google AI Pro and AI Ultra can pick it in the Gemini app and in AI Mode in Search, according to Let's Data Science, which dates the rollout to 13 October. Access to Google Antigravity, the company's agent-based coding product, is limited to AI Ultra subscribers.
Google also says it is expanding its Fairwind Program to hundreds more partners. Approved cyber defenders in that program can use the model without its cyber guardrails. Separately, 10,000 scientists can apply for six months of free access to Antigravity's highest usage tier, with access rolling out subject to eligibility and capacity.
How much does Gemini 4 Argon cost?
Google lists an introductory price of $2 per million input tokens and $10 per million output tokens, with cached input tokens discounted by 95 percent. After 30 November 2026 the standard rate is $4 and $20, exactly double. Anyone building a product on the model should budget for the higher figure, not the launch one.
The model has a one-million-token limit covering input and output together through the API, and Google says it added a continuation protocol for long outputs. The company describes the model as built for multi-step work in coding, finance, legal, cybersecurity and science, and says it answers more directly and hedges less than earlier Gemini models.
What does Google say it can do?
The performance claims come from Google and its partners, not from independent testing. Google says the model ranks first on the Vals Index, which measures finance, coding, legal and tax work, and scores 87 percent on the ERQA embodied reasoning test. In private evaluations run by Gamow Labs it reports 57 percent on a rare-disease diagnosis benchmark and 52.2 percent on wet-lab reasoning.
On security, Google says the model leads the Gray Swan indirect prompt injection benchmark, with the success rate of attacks cut to 0.7 percent across 15 adaptive attempts. Inside Google, it says agentic code submissions rose by more than 35 percent and rollbacks fell by nearly a third. It also says policy violations on an adversarial test set fell nearly two-fold against earlier Gemini models, under its Frontier Safety Framework, and has published a model card.
None of those figures has yet been reproduced outside Google. The first independent benchmarks, and the bills developers see after 30 November, will show how much of the launch story holds.
Published in The Outspoken Digest
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