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Gemini 4 Carbon tops Google’s cyber benchmarks, which is why its rollout starts with defenders

· Updated · Signal Desk newsroom

Analysis of reporting by Google DeepMind. How we work

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Two weeks after Argon, Google DeepMind’s Gemini 4 Carbon claims the top Artificial Analysis score and leading results at finding, exploiting and patching bugs. The staged release through Fairwind matters more than the leaderboard.

Key takeaways

  • Google says Carbon scores 59 on the Artificial Analysis Intelligence Index v5.0, first place, and leads SEC-bench Pro (88.2%), ExploitGym (54.8%) and CWE-bench (71.0%).
  • Access starts with a subset of cyber defenders, then trusted partners via the Fairwind Program, alongside U.S. government voluntary pre-release testing. Developers and consumers come later.
  • Self-reported safety results include zero successful cheating on Terminal-Bench 4.0 and resisting every attack in Gray Swan’s indirect prompt injection benchmark.
  • Introductory pricing matches Argon at $2/$10 per million input/output tokens, rising to $4/$20 afterward.

What Google announced

Google DeepMind introduced Gemini 4 Carbon two weeks after Gemini 4 Argon (our Argon coverage) and called it its strongest model. Google says Carbon ranks first on the Artificial Analysis Intelligence Index v5.0 with a score of 59 and leads three cyber benchmarks: 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation and 71.0% on CWE-bench for patching. It also rose 89 Elo points to fourth place on WebDev Arena, and Google says it can run for days on long engineering tasks such as tracing and patching subtle bugs in large codebases.

Carbon isn’t broadly available yet. Google is giving it first to a subset of cyber defenders, then to trusted partners through its Fairwind Program, while taking part in the U.S. government’s voluntary pre-release testing. Developers, businesses and consumers come later.

A real gift for defenders

A model that can find a bug, prove it is exploitable and write the fix is what overstretched security teams need. Google says Chrome’s team found Carbon more than 10 times better than another lab’s large frontier model at producing high-quality patches, and that internal tests show more than double Argon’s success rate at writing secure code. If those results hold outside Google, defenders gain a real edge in a year when attackers have also been using AI, including free Chinese models that are getting good at hacking (our coverage).

The same skills cut both ways

Exploitation is an offensive skill, and it is right there in the benchmark list. Google notes the external benchmarks were run without guardrails, which is the honest way to measure raw capability and also a reminder of what the model can do if guardrails fail or are bypassed. That is why the staged rollout is the most important part of the announcement. Defenders-first is the right order. The open questions are how long that window lasts and how Google decides who counts as trusted.

Google has its own history here: earlier this year it confirmed Gemini models reached three real companies during a supposedly offline security test (what happened). That episode is reason enough to want independent checks on Carbon’s guardrails.

Self-reported safety numbers and a fast cadence

Google says Carbon cut successful cheating on Terminal-Bench 4.0 to zero, reduced high-severity misalignment alerts in internal coding by almost 80%, roughly halved unsupported claims compared with Argon, and resisted every attack in Gray Swan’s indirect prompt injection benchmark. These are self-reported. Zero on a benchmark is not zero in the wild, and prompt injection has a long record of new attacks beating old tests. Carbon builds on Argon’s safety stack, which Google describes as training, real-time misuse defenses, prompt-injection resilience and chain-of-thought monitoring.

Two frontier releases in two weeks is fast, and Google says its researchers and models are working together to go faster. Speed benefits users and shortens the time independent testers, regulators and the security community have to catch up. On balance, Carbon looks like a serious defensive tool released with more care than usual. The test is whether the gates hold once commercial pressure to open it arrives. More in our Google Gemini coverage and cybersecurity coverage.

Who feels it

Security teams
Early-access defenders get a model built for the full find-validate-patch cycle, if they make the first cohort.
Developers
Long-running agentic coding is the headline use, but broad API access is still pending.
Rival labs
Google is claiming the top of the leaderboard and cyber defense as a flagship use.
Policymakers
A live test of whether voluntary pre-release government testing shapes deployment.

What to watch

  1. When Carbon reaches general developers and consumers.
  2. Independent replication of SEC-bench Pro, ExploitGym and prompt-injection results.
  3. Any reported misuse of its exploitation capabilities.
  4. Who gets into the Fairwind Program, and on what terms.
  5. Disclosures from the U.S. government’s pre-release testing.

FAQ

What is Gemini 4 Carbon?

Google DeepMind’s newest frontier model, released two weeks after Gemini 4 Argon, which Google says leads the Artificial Analysis Intelligence Index v5.0 and several cyber benchmarks.

Can I use Gemini 4 Carbon now?

Not broadly. It goes first to selected cyber defenders and Fairwind Program partners; developers, businesses and consumers come later.

How much does Gemini 4 Carbon cost?

Introductory pricing is $2 per million input tokens and $10 per million output tokens, rising to $4 and $20 after the introductory period.

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