Google has released Gemini 4 Carbon, claiming it is a major improvement over Argon, which was released two weeks ago. The model achieves SOTA on cybersecurity and long-horizon tasks, ranks No. 1 on Artificial Analysis V5, shows significantly improved usability in areas such as coding, and is more closely aligned.
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Google released its new-generation frontier model Gemini 4 Carbon, just two weeks after the release of Argon. The model ranks first with 59 points on the updated Artificial Analysis Intelligence Index v5.0, and in cybersecurity evaluations it scored 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench. Google stated that it shows significant improvement over Argon on long-horizon tasks and has strengthened frontier safety protections; starting this week it will first be made available to select trusted cybersecurity defenders, with the partner scope to be expanded later through the Fairwind Program.
Google released its new-generation frontier model Gemini 4 Carbon, just two weeks after the release of Argon. The model ranks first with 59 points on the updated Artificial Analysis Intelligence Index v5.0, and in cybersecurity evaluations it scored 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench. Google stated that it shows significant improvement over Argon on long-horizon tasks and has strengthened frontier safety protections; starting this week it will first be made avail
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Google has released a new model, Gemini 4 Carbon, claiming it ranks first on Artificial Analysis V5 and is being made available first to cybersecurity defenders. The model shows notable improvements on coding and agentic tasks, scoring 88.2% on SEC-bench Pro vulnerability discovery, 54.8% on ExploitGym exploitation, and 71.0% on CWE-bench patching. Logan Kilpatrick said it is a big jump over Argon, which was released just two weeks ago, achieves SOTA on long-horizon tasks, and shows improvements in usability and alignment.
Google has released a new model, Gemini 4 Carbon, claiming it ranks first on Artificial Analysis V5 and is being made available first to cybersecurity defenders. The model shows notable improvements on coding and agentic tasks, scoring 88.2% on SEC-bench Pro vulnerability discovery, 54.8% on ExploitGym exploitation, and 71.0% on CWE-bench patching. Logan Kilpatrick said it is a big jump over Argon, which was released just two weeks ago, achieves SOTA on long-horizon tasks, and shows improvements
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Google DeepMind has previewed its next-generation frontier model, Gemini 4 Carbon, claiming it achieves SOTA in cybersecurity and long-horizon capabilities, ranking first on the Artificial Analysis Intelligence Index v5.0 with 59 points, while Claude Opus 5.5 scored 58. The model is not yet publicly available; it will first be opened to select cybersecurity defenders and trusted partners in the Fairwind program, and will participate in the U.S. government's voluntary pre-release testing, before gradually being opened to developers, enterprises, and consumers. Introductory pricing is the same as Argon, at approximately $2 input and $10 output per million tokens, rising to approximately $4 input and $20 output after the introductory period.
Google DeepMind has previewed its next-generation frontier model, Gemini 4 Carbon, claiming it achieves SOTA in cybersecurity and long-horizon capabilities, ranking first on the Artificial Analysis Intelligence Index v5.0 with 59 points, while Claude Opus 5.5 scored 58. The model is not yet publicly available; it will first be opened to select cybersecurity defenders and trusted partners in the Fairwind program, and will participate in the U.S. government's voluntary pre-release testing, before
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Google has released its next-generation frontier model Gemini 4 Carbon, just two weeks after the release of Gemini 4 Argon. According to Sundar Pichai, Carbon ranks first on the ArtificialAnlys Intelligence Index v5.0 with a score of 59, scoring 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench in cybersecurity evaluations, with notable improvements over Argon on long-horizon tasks. The model will first be made available to trusted cybersecurity defenders, then expand its collaboration scope through the Fairwind Program, and subsequently become more broadly available.
Google has released its next-generation frontier model Gemini 4 Carbon, just two weeks after the release of Gemini 4 Argon. According to Sundar Pichai, Carbon ranks first on the ArtificialAnlys Intelligence Index v5.0 with a score of 59, scoring 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench in cybersecurity evaluations, with notable improvements over Argon on long-horizon tasks. The model will first be made available to trusted cybersecurity defenders, then expand its colla
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Google releases its new-generation frontier model Gemini 4 Carbon, just two weeks after the release of Argon. The model ranks first with 59 points on the updated ArtificialAnlys Intelligence Index v5.0, and achieved scores of SEC-bench Pro 88.2%, ExploitGym 54.8%, and CWE-bench 71.0% in cybersecurity evaluations. Compared with Argon, Carbon shows significant improvement on long-horizon tasks, and frontier safety safeguards have also been strengthened; starting this week, it will first be opened to select trusted cybersecurity defenders, then expand the range of partners through the Fairwind Program, and gradually open up more broadly.
Google releases its new-generation frontier model Gemini 4 Carbon, just two weeks after the release of Argon. The model ranks first with 59 points on the updated ArtificialAnlys Intelligence Index v5.0, and achieved scores of SEC-bench Pro 88.2%, ExploitGym 54.8%, and CWE-bench 71.0% in cybersecurity evaluations. Compared with Argon, Carbon shows significant improvement on long-horizon tasks, and frontier safety safeguards have also been strengthened; starting this week, it will first be opened
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Google announced the launch of Gemini 4 Carbon, calling it its strongest model to date and saying it reaches leading levels in cybersecurity and long-horizon task capabilities. Carbon improves on its predecessor on most benchmarks and stands out in autonomous coding and cyber defense. The model is first being made available to some trusted cyber defenders in the Fairwind program, with access to be expanded as soon as possible afterward.
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Google releases the new model Gemini 4 Carbon, replacing Argon, which was launched four weeks ago; initially it is available only to U.S. intelligence agencies and cyber defenders selected through the Fairwind program. Google says Carbon improved from Argon's 42% to nearly 55% on the Exploitgym benchmark, leads GPT-6 Astra with about 88% on SEC-bench Pro, and reaches 71% on CWE-bench. Pricing is $4 per million input tokens and $20 per million output tokens, with a 50% discount initially, and public availability is described only as "soon."
Google releases the new model Gemini 4 Carbon, replacing Argon, which was launched four weeks ago; initially it is available only to U.S. intelligence agencies and cyber defenders selected through the Fairwind program. Google says Carbon improved from Argon's 42% to nearly 55% on the Exploitgym benchmark, leads GPT-6 Astra with about 88% on SEC-bench Pro, and reaches 71% on CWE-bench. Pricing is $4 per million input tokens and $20 per million output tokens, with a 50% discount initially, and pub
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On October 28, Google released Gemini 4 Carbon, calling it its most powerful AI model to date, with a focus on improving cybersecurity and coding capabilities; it can identify software vulnerabilities, assess security risks, and generate remediation code. The model scored 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench, and Google says these external security evaluations were run without guardrails. Carbon builds on Gemini 4 Argon, released two weeks earlier, and is initially available only to select cybersecurity defenders and trusted partners in the Fairwind Program, with no public access date announced yet; introductory pricing is $2 per million input tokens and $10 per million output tokens, rising to $4 and $20 afterward.
On October 28, Google released Gemini 4 Carbon, calling it its most powerful AI model to date, with a focus on improving cybersecurity and coding capabilities; it can identify software vulnerabilities, assess security risks, and generate remediation code. The model scored 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench, and Google says these external security evaluations were run without guardrails. Carbon builds on Gemini 4 Argon, released two weeks earlier, and is initially
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On October 28, 2026, Google released the new model Gemini 4 Carbon, which improves coding and tool-calling capabilities over Gemini 4 Argon and strengthens cybersecurity defense capabilities spanning from vulnerability discovery and exploitability validation to remediation. On the Artificial Analysis Intelligence Index v5.0, Carbon scored 59, ranking first, while Argon scored 50; on Terminal-Bench 4.0, the cheating success rate was 0.0% and the attempted cheating rate was 0.4%. That week, the model was first made available to some cybersecurity defenders and gradually expanded through the Fairwind Program, before later being opened to developers, enterprises, and general users. Announced pricing is $2 per million tokens for input and $10 per million tokens for output.
On October 28, 2026, Google released the new model Gemini 4 Carbon, which improves coding and tool-calling capabilities over Gemini 4 Argon and strengthens cybersecurity defense capabilities spanning from vulnerability discovery and exploitability validation to remediation. On the Artificial Analysis Intelligence Index v5.0, Carbon scored 59, ranking first, while Argon scored 50; on Terminal-Bench 4.0, the cheating success rate was 0.0% and the attempted cheating rate was 0.4%. That week, the mo
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Google has released the frontier large language model Gemini 4 Carbon, focused on complex programming and cybersecurity tasks. Google says internal testing shows its ability to generate secure code is more than twice that of the previous generation, that it surpasses the previous record on SEC-bench Pro, and that it can better patch discovered vulnerabilities; in Terminal-Bench 4.0, only 0.4% of problems involved attempted cheating, and none succeeded, while in the Gray Swan IPI Benchmark it blocked all simulated indirect prompt injections. Carbon will open early access later this week through the Fairwind Program to organizations such as internet service providers, and Google plans to refine its guardrails based on feedback before making it broadly available.
Google has released the frontier large language model Gemini 4 Carbon, focused on complex programming and cybersecurity tasks. Google says internal testing shows its ability to generate secure code is more than twice that of the previous generation, that it surpasses the previous record on SEC-bench Pro, and that it can better patch discovered vulnerabilities; in Terminal-Bench 4.0, only 0.4% of problems involved attempted cheating, and none succeeded, while in the Gray Swan IPI Benchmark it blo
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Two weeks after the release of Argon, Google announced its next-generation frontier model Gemini 4 Carbon, claiming significant improvements in coding, agentic tasks, and cybersecurity defense. Carbon ranks first with 59 points on the updated Artificial Analysis Intelligence Index v5.0, and rose 89 elo to 1769 points on WebDev Arena, ranking fourth. On safety, Google says Carbon reduces unsupported claims by about 2x compared with Argon, reduces excessive overreach behavior by 26%, and reduces under-service by 29%. The model will first be made available to cybersecurity defenders this week, followed by rollout to developers, enterprises, and consumers.
Two weeks after the release of Argon, Google announced its next-generation frontier model Gemini 4 Carbon, claiming significant improvements in coding, agentic tasks, and cybersecurity defense. Carbon ranks first with 59 points on the updated Artificial Analysis Intelligence Index v5.0, and rose 89 elo to 1769 points on WebDev Arena, ranking fourth. On safety, Google says Carbon reduces unsupported claims by about 2x compared with Argon, reduces excessive overreach behavior by 26%, and reduces u
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Google has released the large language model Gemini 4 Carbon and the world model Genie 4; the former surpasses its own Gemini 4 Argon and OpenAI's GPT-6 Astra on comprehensive capability benchmarks. Gemini 4 Carbon focuses on vulnerability detection and patching and is currently available only to select cybersecurity experts; Genie 4 adds audio capabilities, allowing developers to add background sound and dialogue to AI worlds, and a waitlist is now open.
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Google DeepMind launched Gemini 4 Carbon two weeks after the release of Argon. The model scored 59 on the Artificial Analysis Intelligence Index v5.0, higher than Argon's 50, ranking first. Carbon is designed for long-horizon engineering tasks, rose to 1769 points and fourth place on WebDev Arena, and reduced the attack success rate from 0.7% to 0.0% on the Gray Swan indirect prompt injection benchmark. The model is first being made available to select cybersecurity experts, priced at $2 per million input tokens and $10 per million output tokens, in line with Argon's introductory pricing.
Google DeepMind launched Gemini 4 Carbon two weeks after the release of Argon. The model scored 59 on the Artificial Analysis Intelligence Index v5.0, higher than Argon's 50, ranking first. Carbon is designed for long-horizon engineering tasks, rose to 1769 points and fourth place on WebDev Arena, and reduced the attack success rate from 0.7% to 0.0% on the Gray Swan indirect prompt injection benchmark. The model is first being made available to select cybersecurity experts, priced at $2 per mil
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Google has released the frontier model Gemini 4 Carbon, claiming notable improvements in coding, agentic tasks, and cybersecurity, and ranking first on the Artificial Analysis Intelligence Index (v5.0), followed by Claude Opus 5.5 and GPT-6 Astra. The model is currently available only to select cybersecurity defense companies, and will later be expanded to other partners through the Fairwind Program; it ranks first on two benchmarks, SEC-bench Pro and ExploitGym, and is priced the same as Argon at $2 per million input tokens and $10 per million output tokens.
Google has released the frontier model Gemini 4 Carbon, claiming notable improvements in coding, agentic tasks, and cybersecurity, and ranking first on the Artificial Analysis Intelligence Index (v5.0), followed by Claude Opus 5.5 and GPT-6 Astra. The model is currently available only to select cybersecurity defense companies, and will later be expanded to other partners through the Fairwind Program; it ranks first on two benchmarks, SEC-bench Pro and ExploitGym, and is priced the same as Argon
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Google DeepMind has released Gemini 4 Carbon, which ranks first on the Artificial Analysis Intelligence Index v5 with a score of 59 and leads in 4 of 9 evaluations including HLE-Diamond and TB-Science. The model focuses on cybersecurity and long-horizon tasks, claiming 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench, and is initially available only to trusted cybersecurity personnel through the Fairwind Program. In terms of specifications, it supports a 1M token context and 1M maximum output, with input covering text, images, video, and speech, and output in text; Artificial Analysis lists a standard price of $4/$20 per million input/output tokens, plus a 50% launch discount.
Google DeepMind has released Gemini 4 Carbon, which ranks first on the Artificial Analysis Intelligence Index v5 with a score of 59 and leads in 4 of 9 evaluations including HLE-Diamond and TB-Science. The model focuses on cybersecurity and long-horizon tasks, claiming 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench, and is initially available only to trusted cybersecurity personnel through the Fairwind Program. In terms of specifications, it supports a 1M token context and 1
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Google has released Gemini 4 Carbon, a frontier model aimed at cybersecurity and long-horizon coding tasks, topping 15 of Google's own 17 benchmarks, but it has not yet been made public and is available only to some cybersecurity defenders. It scores 59 on Artificial Analysis' Intelligence Index, surpassing Claude Opus 5.5 and up 9 points from Argon four weeks ago; on long-input reasoning it leads OpenAI Astra and Opus by 24 points. The introductory API price is $2 per million input tokens and $10 per million output tokens, half that of Opus 5.5, doubling after the discount period to Opus's rates. Google has not announced when it will broaden access.
Google has released Gemini 4 Carbon, a frontier model aimed at cybersecurity and long-horizon coding tasks, topping 15 of Google's own 17 benchmarks, but it has not yet been made public and is available only to some cybersecurity defenders. It scores 59 on Artificial Analysis' Intelligence Index, surpassing Claude Opus 5.5 and up 9 points from Argon four weeks ago; on long-input reasoning it leads OpenAI Astra and Opus by 24 points. The introductory API price is $2 per million input tokens and $
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Google DeepMind has released Genie 4, a new-generation world model that can turn prompts into explorable, realistic scenes in real time, and for the first time the Genie model itself generates background sounds and music, while characters in the scene can also hold real-time conversations. Users move via the keyboard and use text prompts to modify content in the scene instantly, with the scene remaining coherent across multiple inputs. In the demo, a simulated Apptronik Apollo robot plays checkers, with each move planned by Gemini 4 Argon, pointing to Genie's future use in robot training.
Google DeepMind has released Genie 4, a new-generation world model that can turn prompts into explorable, realistic scenes in real time, and for the first time the Genie model itself generates background sounds and music, while characters in the scene can also hold real-time conversations. Users move via the keyboard and use text prompts to modify content in the scene instantly, with the scene remaining coherent across multiple inputs. In the demo, a simulated Apptronik Apollo robot plays checke
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Google has released Gemini 4 Carbon, just two weeks after the release of the previous-generation frontier model Gemini 4 Argon. According to Google, Carbon surpassed Anthropic's Claude Opus 5.5 to take first place on Artificial Analysis's Intelligence Index, while Argon had previously ranked only sixth. Carbon mainly improves complex coding tasks and cybersecurity capabilities, scoring 88.2% on SEC-bench Pro, higher than Argon's 83.4% and OpenAI GPT-6 Astra's 85.4%; however, it still trails Claude Opus 5.5 on the Coding Agent Index, Terminal-Bench, and Frontiercode. Currently, Carbon is available only to selected users such as cybersecurity defense experts, and will be opened to developers, enterprises, and consumers only after passing the U.S. government's voluntary pre-review process.
Google has released Gemini 4 Carbon, just two weeks after the release of the previous-generation frontier model Gemini 4 Argon. According to Google, Carbon surpassed Anthropic's Claude Opus 5.5 to take first place on Artificial Analysis's Intelligence Index, while Argon had previously ranked only sixth. Carbon mainly improves complex coding tasks and cybersecurity capabilities, scoring 88.2% on SEC-bench Pro, higher than Argon's 83.4% and OpenAI GPT-6 Astra's 85.4%; however, it still trails Clau
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Google released Gemini 4 Carbon, which scored 59 points on the Artificial Analysis Intelligence Index v5.0 leaderboard, surpassing Claude Opus 5.5's 58 points and GPT-6 Astra's 57 points. The model achieved 88.2%, 54.8%, and 71.0% on SEC-bench Pro, ExploitGym, and CWE-bench, respectively, and Google says it can handle engineering problems in large codebases continuously for several days. The model this week is first being made available to some cybersecurity defenders, then expanded to trusted partners through the Fairwind Program, with no timeline yet for general users; initial pricing is $2 per million input tokens and $10 per million output tokens.
Google released Gemini 4 Carbon, which scored 59 points on the Artificial Analysis Intelligence Index v5.0 leaderboard, surpassing Claude Opus 5.5's 58 points and GPT-6 Astra's 57 points. The model achieved 88.2%, 54.8%, and 71.0% on SEC-bench Pro, ExploitGym, and CWE-bench, respectively, and Google says it can handle engineering problems in large codebases continuously for several days. The model this week is first being made available to some cybersecurity defenders, then expanded to trusted p
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