{
  "id": 17006620,
  "title": "Google launches Gemini 4 Carbon AI model with cybersecurity focus",
  "url": "https://urgent.news/2026/10/29/google-launches-gemini-4-carbon-ai-model-with-cybersecurity-focus",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-29T03:51:12.000Z",
  "source": {
    "name": "The Hindu - Sci-Tech",
    "slug": "the-hindu-sci-tech",
    "url": "https://www.thehindu.com/sci-tech/technology/google-launches-gemini-4-carbon-ai-model-with-cybersecurity-focus/article71638920.ece"
  },
  "original_language": "en",
  "account": "Alphabet's Google unveiled Gemini 4 Carbon, its newest frontier AI model, on Wednesday, intensifying the competition with OpenAI and Anthropic in the development of advanced coding and cybersecurity systems. This launch follows Google's introduction of Gemini 4 Argon two weeks prior, as the company broadens its Gemini series of AI models for developers and enterprise clients. According to Google, the Carbon model demonstrates state-of-the-art performance in cybersecurity tasks, such as vulnerability detection, exploitation, and software patching. The company reported that Carbon generates secure code at a success rate more than double that of Gemini 4 Argon on internal benchmarks. Designed to manage intricate, prolonged engineering and coding tasks, Carbon is initially available to a select group of cybersecurity defenders through Google's Fairwind Program while the company continues testing safety measures. Priced at $2 per million input tokens and $10 per million output tokens, mirroring Gemini 4 Argon's initial pricing, Google aims to maintain competitive affordability.",
  "summary": "The model is designed to handle complex, long-running engineering and coding tasks",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}