Google launches Gemini 4 Carbon for cybersecurity coding market
Google is expanding its Gemini AI lineup with a new model aimed at complex cybersecurity and software engineering work. The release comes two weeks after Gemini 4 Argon, underscoring the company's push to win more developer and enterprise demand as competition with OpenAI and Anthropic intensifies.
Highlights
- Google launched Gemini 4 Carbon, its new AI model for cybersecurity coding, targeting defenders via the Fairwind Program while testing safeguards.
- Gemini 4 Carbon outperforms Gemini 4 Argon by generating secure code at over twice the success rate and handles complex engineering and patching tasks.
- Pricing for Gemini 4 Carbon is $2 per million input tokens and $10 per million output tokens, matching Gemini 4 Argon and intensifying competition with OpenAI and Anthropic.
Cybersecurity model rollout and pricing
As reported by Reuters, Alphabet's Google unveils Gemini 4 Carbon as its latest frontier AI model, with an initial focus on cybersecurity defenders through the company's Fairwind Program while testing of safeguards continues.Google says the model delivers state-of-the-art performance across cybersecurity tasks including vulnerability discovery, exploitation and software patching. The company also says Carbon generates secure code at more than twice the success rate of Gemini 4 Argon on internal benchmarks and is designed to manage complex, long-running engineering and coding tasks.
Gemini 4 Carbon is priced at $2 per million input tokens and $10 per million output tokens, matching the introductory pricing of Gemini 4 Argon.
Competitive pressure in enterprise AI
The launch adds to Google's rapid expansion of the Gemini family for developers and enterprise customers. By introducing another specialized model soon after Gemini 4 Argon, Google is sharpening its position in the market for advanced coding and cybersecurity systems.The move also highlights how AI companies are targeting higher-value enterprise use cases where secure code generation and automated vulnerability work could become a differentiator. That puts Google in more direct competition with OpenAI and Anthropic as the race for more capable applied AI models accelerates.
Our earlier article on Cohere’s planned acquisition of AI cybersecurity startup AISLE highlighted how the company is pushing deeper into enterprise security as part of its merger with Germany’s Aleph Alpha. We noted that adding AISLE’s vulnerability-detection technology and Prague engineering hub would strengthen security and threat-detection capabilities for enterprise and public-sector customers, with an emphasis on private deployments.
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