Google DeepMind has made Gemini 4 Carbon available to developers, enterprises, scientists and consumers, positioning it as the company's most capable model. Carbon sits above Gemini 4 Argon, which launched recently and remains the recommended choice for most software engineering and knowledge work. Carbon is aimed at harder problems, such as complex multi-step coding and debugging and open-ended scientific research. It uses more tokens than Argon to explore options, reason through problems and run extended verification loops. Google first released Carbon two weeks earlier to cybersecurity defenders through its Fairwind Program. Carbon is available through the API in Google AI Studio and Gemini for business at the same introductory price as Argon: 2 dollars per million input tokens and 10 dollars per million output tokens. It is also rolling out to Google AI Ultra subscribers in Google Antigravity, the Gemini app and AI Mode in Search. Google also previewed a /swarm feature in Antigravity that coordinates teams of agents, pairing Carbon for architecture and auditing with faster models for parallel work and adversarial verifiers that test changes. Google says Carbon ranks first on CursorBench 4.0, Perplexity's WANDR and Zapier's AutomationBench at more than twice lower cost per task than the next best external model. On a new Multimodal Knowledge Agent benchmark built with Artificial Analysis, Google says Carbon ranks second while costing more than six times less per task than the top performer. These results are company-reported and the article does not include independent verification. For Australian businesses and professionals, the headline price is unchanged from Argon, but because Carbon uses more tokens per task, the real cost depends on your own workloads, so test cost per task rather than the per-token rate. For most people using the Gemini app or AI Mode in Search, nothing changes unless they hold an Ultra subscription. Teams sending client or personal information to the API should review data handling and overseas processing under the Privacy Act 1988 and the Australian Privacy Principles, particularly APP 8 on cross-border disclosure, before using sensitive data. Complex coding and document-heavy analysis on non-sensitive material is worth a trial.