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Gemini 4 Carbon: Access, Features, and Comparison
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Gemini 4 Carbon: Access, Features, and Comparison

Guide to Gemini 4 Carbon: its cybersecurity strengths, long-horizon coding, pricing, Fairwind access, and how it compares to Gemini 4 Argon.

Google announced Gemini 4 Carbon on 28 October 2026 as its strongest frontier model yet. It builds directly on Gemini 4 Argon, released just two weeks earlier. Carbon targets long-horizon engineering tasks and cybersecurity defense.

Most users cannot access it today. Google is releasing it first to selected cyber defenders through the Fairwind Program. Developers, businesses, and consumers will follow once guardrails are refined.

What Gemini 4 Carbon Does Better

Carbon ranks number one on the Artificial Analysis Intelligence Index v5.0 with a score of 59. It improves across coding, agentic workflows, and scientific reasoning.

On cybersecurity benchmarks it leads in finding vulnerabilities (SEC-bench Pro 88.2%), exploitation (ExploitGym 54.8%), and patching (CWE-bench 71.0%). Internal tests show more than 2x better success at generating secure code versus Argon. The Chrome team reported over 10x better high-quality patches compared to another frontier model.

It handles sustained agentic work that can run for days. Teams use it for root-causing subtle bugs across large codebases and full-stack web development. It also gains 89 Elo points on WebDev Arena.

Laptop screen showing code and security tools

How Access Works Right Now

Access follows a deliberate phased plan:

  1. A subset of cyber defenders received access starting the week of 28 October 2026.
  2. Additional trusted partners join gradually through the Fairwind Program.
  3. Developers, businesses, and consumers get it on Google product surfaces as soon as possible. No public date is set.

The Fairwind Program prioritizes governments, national cyber authorities, critical infrastructure operators (healthcare, telecom, energy, finance), and major technology platforms. Organizations must meet strict requirements: user-level authentication, phishing-resistant MFA, access limited to security teams, and full audit logging. They cannot redistribute access.

Google participates in the U.S. government’s voluntary pre-release model testing process. It continues refining guardrails based on early feedback.

If you are not in Fairwind, use Gemini 4 Argon today. It is available via the Gemini API, AI Studio, the Gemini app (Pro and Ultra), and Google Antigravity. See our guide on adding Gemini 4 Argon to Android apps with Firebase AI Logic.

Pricing and Technical Details

Carbon launches at the same introductory price as Argon: $2 per million input tokens and $10 per million output tokens. Cached input tokens receive a 95% discount. After the introductory period, prices rise to $4 input and $20 output per million tokens.

It shares Argon’s multi-layered safety stack: training-time alignment, real-time misuse defenses, prompt-injection resilience, and chain-of-thought monitoring. Carbon further reduces shortcut exploitation, unsupported claims, and overreach. On Gray Swan’s Indirect Prompt Injection benchmark it reaches 0.0% attack success rate.

Practical Tips While You Wait

Prepare evaluation sets now. Build a suite of long-horizon coding tasks, vulnerability reports, and multi-step workflows. Test them on Argon so you can switch to Carbon with minimal changes once it arrives.

Focus on agentic patterns. Carbon excels at persisting through dead ends. Structure prompts that let the model plan, execute, observe, and revise over many steps.

Monitor the Fairwind page and Google DeepMind announcements for expansion news. Security teams should contact their Google Cloud account team if they believe they qualify.

Abstract digital network representing AI cybersecurity

Conclusion

Gemini 4 Carbon advances long-horizon coding and cybersecurity defense beyond Argon while keeping the same introductory pricing. Public access remains limited to vetted partners in the Fairwind Program. Developers should continue shipping with Argon and prepare evaluation harnesses for the broader rollout.

Sources

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