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AI Risks & SafetyPrimary sourceSource analysis

Gemini 4 Carbon tops a model index—but remains limited to selected cyber defenders

Google reports strong vulnerability-finding, exploitation and patching scores. One independent composite ranks Carbon first, while public access, reproducible safety evidence and operational outcomes remain limited.

By The Impact of AI Editorial Desk•Released 28 October 2026 at 21:10 GMT•3 min full report · 1 min summary•2 sources · view evidence

The short version

What happened
Artificial Analysis gives Gemini 4 Carbon a score of 59, the highest published result on its nine-evaluation composite, one point above the next listed model.
Who it affects
Security teams could gain faster help finding and repairing vulnerabilities, while more capable exploitation also raises misuse concerns. Controlled access means most defenders cannot yet test whether the model improves their own detection quality, patch safety or response time.
What remains unproven
No public API

Keep in mind

No public API

Selected cohort only

Cyber scores reported by Google

Evaluations without guardrails

Internal safety tests lack denominators

No Carbon-specific detailed safety report

No incident-response outcome study

Source analysis · 2 linked sources. Primary analysed source date: 28 October 2026.

Read the full report · 3 min The evidence, methods, implications and limitations

The strongest public signal is a narrow benchmark lead

Google's new cyber-focused frontier model leads the current Artificial Analysis Intelligence Index with 59. The independent composite averages agents, coding, general capability and scientific reasoning at 25% each. A one-point lead is useful evidence of broad benchmark strength, not proof of a decisive advantage in operational security work.

Google separately reports Carbon at 88.2% for vulnerability finding on SEC-bench Pro, 54.8% for exploitation on ExploitGym and 71.0% for patching on CWE-bench. It says the evaluations ran without guardrails, a condition that may differ from deployed use.[1][2]

Controlled access leaves the safety case unfinished

Google reports lower cheating, unsupported claims, overreach and prompt-injection success than earlier models, but publishes the Carbon figures in a launch post rather than a new detailed technical or safety report. Internal alerts and live-coding comparisons lack denominators and external replication.

Starting this week, Carbon is going to selected cyber defenders before a gradual trusted-partner rollout. That caution may reduce misuse exposure, but it also limits independent testing. Evidence that would change the assessment includes a full model card, reproducible guarded evaluations, transparent access criteria and measured defensive outcomes in real incidents.[1][2]

The distinction that matters

Three different kinds of evidence

The launch combines an independently run composite, company-reported cyber benchmarks and internal safety observations.

Independent

Nine-evaluation composite

Score 59; current published leader

Company reported

Three cyber benchmarks

Strong scores without public guarded replication

Operational

Selected-defender rollout

Real-world outcomes not yet reported

A benchmark lead does not by itself establish safe, reliable performance in live defensive work. Source: GoogleSource: Artificial Analysis

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Explore the full source and evidence record

What this means for people

  • Security teams could gain faster help finding and repairing vulnerabilities, while more capable exploitation also raises misuse concerns. Controlled access means most defenders cannot yet test whether the model improves their own detection quality, patch safety or response time.

Global context

The initial rollout uses Google's Fairwind trusted-partner programme and U.S. voluntary pre-release testing. Access, legal oversight and cyber-defence capacity differ widely across countries.

What the evidence does not yet show

  • No public API
  • Selected cohort only
  • Cyber scores reported by Google
  • Evaluations without guardrails
  • Internal safety tests lack denominators
  • No Carbon-specific detailed safety report
  • No incident-response outcome study

What to watch next

  • Public API or broader access
  • Carbon model card
  • Independent guarded cyber evaluations
  • Misuse testing
  • Patch regression rates
  • Real-world defender outcomes

Living evidence record

Impact record IAI-1G8UM36

Explore the full tracker

Evidence stage

Announced

Confidence

Supported

Reporting basis

Source analysis

Independent or research support

Present

Record status

Monitoring

Last checked

28 October 2026

Source trail

2 direct sources across 2 source types.

People impact

Documented in this record.

Uncertainty

Limits and next checks are explicit.

Stages describe the evidence available—not whether a technology is good or bad. See the public method.

Related-source reporting disclosure

This record analyses 2 linked source records around the same underlying development. The extra records add method, date or context, but they do not by themselves constitute independent replication of every performance claim or predicted outcome.

Evidence trail

Sources used for this report

Links checked 28 October 2026

1Google• Official announcement• 28 October 2026• United StatesGemini 4 Carbon: our next frontier modelOfficial Google announcement dated 28 October 2026. Cybersecurity, internal safety and live-coding results are company-reported. Carbon is initially limited to selected cyber defenders and trusted partners; Google has not released it generally.2Artificial Analysis• Independent reporting• 28 October 2026• United StatesArtificial Analysis Intelligence Index v5.0Independent benchmark page checked 28 October 2026. The composite gives four categories equal 25% weights and reports Gemini 4 Carbon (High) at 59, the highest published score. Carbon has no public API, limiting independent replication outside the benchmark provider and Google's selected rollout.
Research question, topics and regions

Topics: Cybersecurity · Frontier models · Vulnerability research · Model safety · Benchmarks · Controlled rollout

Regions: United States · Global

This report is labelled source analysis. We summarise and analyse source material in our own words; company statements remain attributed claims until independently supported. Translated summaries preserve the meaning of the original source and link back to it. Read our editorial standards.