Google launches Gemini 4 Carbon AI model with cybersecurity focus
- On Wednesday, Alphabet's Google unveiled Gemini 4 Carbon, its latest frontier AI model, stepping up competition with OpenAI and Anthropic in coding and cybersecurity systems.
- The launch follows Gemini 4 Argon's introduction two weeks ago, as Google expands its Gemini family for enterprise customers seeking improvements in agentic, scientific, and full-stack web development tasks.
- Carbon demonstrates a "firm lead in SEC-bench Pro for finding vulnerabilities, ExploitGym for exploitation, and CWE-bench for patching," with Google noting "significant gains" in cybersecurity defense.
- Google is offering Carbon first to a subset of cybersecurity defenders through the Fairwind Program, priced at $2 per million input tokens and $10 per million output tokens, matching Argon's introductory rates.
- Carbon currently ranks #1 on the Artificial Analysis Intelligence Index at 59, while the model jumped 89 elo points to reach #4 on the WebDev Arena, reflecting improved output quality.
28 Articles
28 Articles
Google launches Gemini 4 Carbon with a ‘significant leap’ in cybersecurity
Google has released its latest frontier model, Gemini 4 Carbon, offering "significant gains" in coding, agentic tasks, and cybersecurity. In an announcement on Wednesday, Google highlights Carbon's top spot on the Artificial Analysis Intelligence Index (v5.0) benchmark, with Claude Opus 5.5 and GPT-6 Astra trailing behind. The new Gemini 4 Carbon model offers improvements over […]
Google launches Gemini 4 Carbon AI model with cybersecurity focus
Company claims new frontier model ranks 1st on Artificial Analysis Intelligence Index with advances in coding and cybersecurity
Google Gives Cyber Defenders First Access to Gemini 4 Carbon, Its New Frontier Model
Gemini 4 Carbon, Google's newest frontier model, goes first to a subset of cyber defenders through the Fairwind Program this week. Google says developers, businesses and consumers get it once guardrail testing wraps up, at Argon's introductory price of $2 per million input tokens.
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