Google rolls out Gemini 4 Argon to paying users, with tighter limits for coding tools

Google began rolling out Gemini 4 Argon on October 13, 2026, giving paying customers broader access but drawing different boundaries around chat and coding. AI Pro and Ultra subscribers can use it in the Gemini app; Antigravity and AI Studio require Ultra. Developers can buy access through the paid API, with introductory prices that expire next month.

The rollout follows Google's initial reveal a few weeks earlier, when the company said potential misuse required a cautious path toward full release. The change now is availability, not a new set of capabilities. Google is still pointing to benchmarks published late last month to support its claims about advanced reasoning and coding agents.

Google says Argon was trained to reject malicious instructions. It also describes an automated misalignment monitor that can stop processing when it detects an unintended workflow. Those are company-described safeguards accompanying access to the model, rather than newly announced capabilities in this rollout.

A Pro subscription opens the app, not every coding route

The subscription split is specific to where customers use Argon. AI Pro costs $20 a month, while AI Ultra starts at $99 a month. Both qualify for Gemini app access, but only the higher tier qualifies for the model inside the two coding-focused products.

• Gemini app: AI Pro and AI Ultra subscribers are eligible. Free accounts are excluded.
• Canvas in the Gemini app: Pro subscribers can use Argon to generate code.
• Antigravity and AI Studio: Argon access is restricted to AI Ultra subscribers.

That leaves Pro customers with a route to code generation, but not Argon access in Antigravity's multi-threaded agent workflows. Google says Gemini 3.1 Pro will remain available for now. The company has declined to clarify when, or whether, Argon will reach other Antigravity subscription tiers.

Google adds examples from its own engineering work

Alongside the rollout, Google offered more examples of how employees have used Argon internally. The company says thousands of Googlers have used the model. One example concerns YouTube's comment system: Argon identified redundant emoji rendering that engineers removed, reducing server load by 45 percent, according to Google.

Another involved Project Wing's proprietary drone physics simulator. Google says Argon found critical bugs that had remained in that codebase since 2018. The company also claims a measurable improvement in embodied reasoning in its robotics program—reasoning about spatial problems in three-dimensional environments. These are Google's accounts of internal results, not independent measurements of customer performance.

The developer offer has a fixed end date

The paid API provides a separate route to Argon for developers. Its temporary rates are $2 per million input tokens and $10 per million output tokens through November 30, 2026. Google also says cached tokens receive a 95 percent discount. The introductory offer is therefore time-limited, rather than the model's continuing base price.

From December 1, the stated rates rise to $4 per million input tokens and $20 per million output tokens. Both prices double, so a workflow's input and output charges at those rates would double too if its token usage stayed unchanged. Developers evaluating Argon during the discount period have a known price reset to account for before building around it.