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Google Releases Gemini 4 Carbon, With a Mode That Puts a Team of Agents on One Prompt

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A Google TPU v4 board: four accelerator chips under metal heat spreaders, with red, blue, green and yellow liquid-cooling tubes running across a green circuit board.
Four of Google's custom AI accelerators share one liquid-cooled board, the class of hardware that serves the company's Gemini models (illustrative; photographed April 4, 2023)."TPU v4 (cropped)" by Norman P. Jouppi, George Kurian, Sheng Li, Peter Ma, Rahul Nagarajan, Lifeng Nai, Nishant Patil, Suvinay Subramanian, Andy Swing, Brian Towles, Cliff Young, Xiang Zhou, Zongwei Zhou, and David Patterson, via Wikimedia Commons, CC BY 4.0, resized and padded

Google made its newest Gemini model, Gemini 4 Carbon, generally available on Nov. 10, 2026, to paying developers, enterprises and its top-tier consumer subscribers, and is previewing a mode in its Antigravity coding tool that turns a single prompt into a team of software agents.

Google says it built Carbon for the work that pushes a model hardest: complex, multi-step coding and debugging, and open-ended scientific research. The company says Carbon spends more tokens than Gemini 4 Argon, its previous release, and that Argon remains the better fit for most software engineering and knowledge work.

Per Google's announcement, Carbon is in the Gemini API through Google AI Studio and Gemini for business for all paying developers and enterprises, and is rolling out to Google AI Ultra subscribers in Antigravity, the Gemini app and AI Mode in Search. Pricing is by the token, the pieces of text a model reads and writes. The introductory rate is $2 per million input tokens and $10 per million output tokens, the same as Argon's, and a footnote says that once the introductory period expires Nov. 30, 2026, it rises to $4 per million input tokens and $20 per million output tokens.

The Antigravity feature, written as /swarm, is a preview. Google describes it as turning one prompt into a coordinated team of agents a developer can follow in real time, with Carbon assigned the roles that need the most reasoning, such as design, coordination and auditing, while faster, cheaper models work alongside it.

Every performance claim in the announcement is Google's own, and no independent evaluation of this model has been published. The company says Carbon ranks first on CursorBench 4.0, Perplexity's WANDR and Zapier's AutomationBench, at less than half the cost per task of the next best model from another company. On its own safety testing, Google says its safeguards blocked 99% of attack trajectories from an in-house red-teaming agent in simulated cyberattack environments.

Google says the cybersecurity build of the model, which it calls Carbon for cyber, stays available only through its Fairwind Program, which security teams apply to join.

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