What changed
On November 10, 2026, Google DeepMind announced the availability of Gemini 4 Carbon, its latest frontier model designed for developers, enterprises, scientists, and consumers. Carbon is positioned as the strongest model in the Gemini series, with enhanced cybersecurity capabilities and support for long-horizon agentic workflows in complex knowledge work, software engineering, and scientific reasoning.
What this means in practice
Gemini 4 Carbon is available via the API in Google AI Studio and Gemini for business for all paying developers and enterprises at the same introductory price as Gemini 4 Argon ($2 per million input tokens and $10 per million output tokens).
It is also rolling out to Google AI Ultra users in Google Antigravity, the Gemini app, and AI Mode in Search.
The model excels in tasks that require deep reasoning, such as complex, multi-step coding and debugging, and open-ended scientific research. It ranks #1 on CursorBench 4.0, Perplexity’s WANDR, and Zapier’s AutomationBench, achieving more than 2X lower cost per task compared to the next best external model.
Google Antigravity’s /swarm feature allows developers to coordinate a team of agents for larger projects, with Carbon assigned to roles requiring deep reasoning, such as architectural design and auditing. It also supports multimodal tasks, including generating 3D visualizations and interactive environments from textual prompts.
Limitations and availability
The supplied announcement does not specify exact hardware requirements or license conditions beyond API access and pricing. Carbon is available to developers and enterprises through Google AI Studio and Gemini for business. It is also being rolled out to Google AI Ultra users in Google Antigravity, the Gemini app, and AI Mode in Search.
The model’s cybersecurity capabilities are available through the Fairwind Program, where it leads on key benchmarks for finding, exploiting, and patching vulnerabilities. Early testers have reported strong results, including improved recall and precision in identifying real-world logic flaws in open-source software.
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