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ModelsThe Verge · AIRelayed· Emma Roth·· 2 days ago

Google launches Gemini 4 Carbon with a ‘significant leap’ in cybersecurity

Image: The Verge · AI
Who
Google DeepMind
What
announced the Gemini 4 Carbon frontier model
When
Quote
Google has released its latest frontier model, Gemini 4 Carbon, offering “significant gains” in coding, agentic tasks, and cybersecurity.

What happened

Google has released Gemini 4 Carbon, claiming gains in coding, agentic tasks, and cybersecurity over Argon. Access is currently limited to select cybersecurity defense companies, with expansion planned to other Fairwind Program partners. Carbon leads the Artificial Analysis Intelligence Index (v5.0), SEC-bench Pro, and ExploitGym; Google says it halves unsupported claims compared with Argon and will launch at $2 per million input tokens and $10 per million output tokens.

Read next

See the full storyGoogle Announces Gemini 4 Carbon, Leading Intelligence Index With Access Limited to Cyber Defenders

Reported by 11 sources

    The story so far

    Google DeepMind announced Gemini 4 Carbon, which ranks first on Artificial Analysis’s Intelligence Index v5.0 at 59, with access currently limited to selected cybersecurity defense companies, according to The Verge. Google said it would expand access through its Fairwind Program before making Carbon available to developers, businesses, and consumers after gathering feedback and adjusting safety guardrails. Artificial Analysis reported that Carbon led four of nine evaluations, but its coding-agent score using Antigravity CLI was 59, behind Claude Opus 5.5 at 62. Google reported cybersecurity scores of 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench, all measured without guardrails. Google also said Carbon was twice as likely as Argon to generate vulnerability-free code and halved unsupported claims. Ars Technica noted that Carbon’s reported benchmark leads over competing frontier models were generally only a few points. Google set introductory pricing at $2 per million input tokens and $10 per million output tokens. Artificial Analysis described this as a 50% launch discount. The restricted rollout drew criticism from Nathan Lambert, who objected to announcing scores for a model he could not publicly use. He later softened his criticism, citing difficulties he had heard about in getting a frontier model released.

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