Summary
On October 13, 2026, Google made Gemini 4 Argon generally available through the Gemini API and AI Studio, two weeks after a limited release to vetted cyber defenders. The model targets long, multi-step agentic work with a roughly 1M-token context window, at introductory pricing of $2 per million input and $10 per million output tokens that doubles to $4/$20 on December 1, 2026.
What changed
Gemini 4 Argon reached general availability for paid API developers and paid Google AI subscribers via the Gemini API and AI Studio. Introductory pricing is $2/$10 per million input/output tokens through November 30, 2026, rising to $4/$20 on December 1; the model offers a ~1M-token context and is tuned for long-running, multi-step work.
Why it matters
A frontier Google model aimed explicitly at long-horizon agents, with a time-boxed introductory price, sharpens the cost and capability race against OpenAI's GPT-6 and Anthropic's Claude for agent workloads, and the scheduled 2x price hike pressures teams to benchmark and commit early.
Evidence excerpt
Google made Gemini 4 Argon generally available on October 13, two weeks after it reserved the model for a vetted group of cyber defenders. Through November 30, 2026, the standard rate is $2 per million input tokens and $10 per million output tokens; from December 1 it rises to $4 and $20.