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Google DeepMind announces Gemini 4 Carbon, starting with cyber defenders

Google DeepMind's new frontier model, Gemini 4 Carbon, tops the Artificial Analysis Intelligence Index v5.0 and posts leading cybersecurity scores. It arrives two weeks after Gemini 4 Argon, but goes first to a subset of cyber defenders while Google takes part in US government pre-release testing.

Google DeepMindGemini 4 CarbonFrontier modelsCybersecurityCoding agents

Google DeepMind has announced Gemini 4 Carbon, which it calls its strongest model yet, with "state-of-the-art cybersecurity and long horizon capabilities"[1]. It comes two weeks after Gemini 4 Argon, and Google says it shows "the pace at which we're pushing the frontier forward"[1]. The catch is access: Carbon is going to a subset of cyber defenders first, not to developers or the Gemini app[1].

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The headline numbers

Google says Carbon ranks first on the recently updated version 5.0 of the Artificial Analysis Intelligence Index, with a score of 59[1]. The Decoder reports that Argon sits at 50 on the same index, and that on Artificial Analysis's Coding Agent Index Carbon's 59 still trails Claude Opus 5.5 at 62[3]. The Verge notes that Claude Opus 5.5 and GPT-6 Astra trail Carbon on the Intelligence Index[2].

On web development, Google says Carbon gained 89 Elo points to reach fourth place on WebDev Arena at 1768[1]. It also says the model is built for long agentic work, and that its own teams have seen Carbon "run for days" through dead ends on tasks such as root-causing and patching subtle bugs in large codebases and low-level systems[1].

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A cybersecurity model first

The biggest claims are about security. Google reports, measured without guardrails, 88.2% on SEC-bench Pro for finding real vulnerabilities, a state-of-the-art 54.8% on the exploitation benchmark ExploitGym, and 71.0% on Collinear's CWE-bench for turning findings into working fixes[1]. On internal benchmarks it says Carbon more than doubles Argon's success rate at generating secure code, and that the Chrome team found it more than 10 times better than "another lab's large frontier model" at producing high-quality patches[1]. Wiz, Google's cloud security platform, also sees Carbon leading on web penetration testing benchmarks, according to the post[1].

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Safety claims

Google says Carbon uses the same layered safety stack as Argon, including real-time misuse defences, prompt-injection resilience and chain-of-thought monitoring, and was trained to handle high-pressure tasks better[1]. Its figures include successful cheating on Terminal-Bench 4.0 cut to 0.0% with cheating attempts at 0.4%, high-severity misalignment alerts in internal live coding down by almost 80%, unsupported claims roughly halved compared with Argon, and a 0.0% attack success rate on Gray Swan's Indirect Prompt Injection benchmark, down from Argon's 0.7%[1]. It also says overreach fell by 26% and under-service by 29% on multi-step plans[1].

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Rollout and pricing

Google says it is "actively engaged in the U.S. government's voluntary process for pre-release model testing"[1]. Access starts this week with a subset of cyber defenders, then widens to more trusted partners through its Fairwind Program, and reaches developers, businesses and consumers "as soon as possible", with no date given[1].

Pricing will start at Argon's introductory rate of $2 per million input tokens and $10 per million output tokens, with cached input 95% cheaper, then rise to $4 and $20 after the introductory period ends[1].

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Why it matters

Carbon follows the same pattern as other recent frontier launches: the strongest security capabilities go to defenders before anyone else, while the lab tunes guardrails. For teams building coding agents, the practical points are the multi-day task claims and the unchanged introductory price. Until Carbon reaches the Gemini API, though, most of its numbers are Google's own, and independent testing will have to wait for wider access[1].

FAQ

Frequently asked questions.

01

What is Gemini 4 Carbon?

Gemini 4 Carbon is Google DeepMind's newest frontier model, announced on 28 October 2026 by Koray Kavukcuoglu, SVP at Google DeepMind and Google's Chief AI Architect. Google calls it its strongest model, with state-of-the-art cybersecurity and long-horizon capabilities, and it builds on Gemini 4 Argon, launched two weeks earlier.

02

Can I use it now?

Not yet for most people. Google says it is making Carbon available to a subset of cyber defenders first, then gradually to more trusted partners through its Fairwind Program, and to developers, businesses and consumers through its products 'as soon as possible'. No date has been given.

03

How much will it cost?

Google says Carbon will launch at the same introductory price as Argon: $2 per million input tokens and $10 per million output tokens, with cached input 95% cheaper. After the introductory period, the price rises to $4 per million input tokens and $20 per million output tokens.

04

How does it score?

Google says Carbon ranks first on version 5.0 of the Artificial Analysis Intelligence Index with 59, and reports 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation and 71.0% on CWE-bench for patching. The Decoder reports Argon scored 50 on the same index, and that Carbon's 59 on the Coding Agent Index still trails Claude Opus 5.5 at 62.

05

Why the slow rollout?

Google says it is taking a deliberate approach because of Carbon's cybersecurity capabilities, is taking part in the US government's voluntary pre-release model testing process, and is still gathering feedback and iterating on guardrails before a wider release.