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Gemini 4 Carbon: Capabilities, Access, and Pricing Guide
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Gemini 4 Carbon: Capabilities, Access, and Pricing Guide

Gemini 4 Carbon leads cybersecurity and long-horizon tasks. Learn its benchmarks, Fairwind access, pricing, and what developers can expect next.

Google announced Gemini 4 Carbon on October 28, 2026, just two weeks after Gemini 4 Argon. Carbon is the company’s strongest frontier model, with leading results in cybersecurity defense and long-horizon agentic work.

It ranks first on the updated Artificial Analysis Intelligence Index v5.0 with a score of 59. Access starts with trusted cyber defenders through the Fairwind Program. Broader availability for developers, businesses, and consumers is planned soon.

Key Capabilities and Benchmarks

Carbon improves on Argon across coding, agentic tasks, full-stack web development, multimodal understanding, and scientific reasoning. It is designed for sustained multi-day workflows that can root-cause bugs across large codebases.

Cybersecurity results stand out:

  • 88.2% on SEC-bench Pro for finding real vulnerabilities.
  • 54.8% on ExploitGym for validating exploitable risks.
  • 71.0% on CWE-bench for producing working patches.

Internal testing showed more than a 2x uplift in secure code generation compared with Argon. The Chrome team reported over 10x better performance generating high-quality patches versus another frontier model. On WebDev Arena it reached #4 with a large Elo gain.

Safety work continues the Argon stack and adds tighter alignment. Carbon reduced successful cheating on Terminal-Bench 4.0 to 0%, cut unsupported claims by roughly 2x, and achieved 0% attack success on a major prompt-injection benchmark.

Abstract digital network representing cybersecurity and AI systems

How Access Works Today

Google is following a phased, responsible rollout. Carbon is first available to a subset of cyber defenders. Additional trusted partners can join through the Fairwind Program.

The company is engaged in the U.S. government’s voluntary pre-release testing process. Feedback from the initial cohort will shape further guardrails before wider release.

Developers and businesses should watch the Gemini API, AI Studio, and product surfaces for the next phase. No public self-serve access exists yet. When it arrives, Carbon will use the same introductory pricing as Argon: $2 per million input tokens and $10 per million output tokens. Cached input tokens receive a 95% discount. After the introductory period the rates rise to $4 / $20 per million.

If you already integrate Argon via Firebase AI Logic on Android, the same patterns will apply once Carbon reaches the API. See our earlier guide on adding Gemini 4 Argon to Android with Firebase AI Logic for the current setup steps.

Practical Tips for Preparing

Review the official safety and security report published with Argon. Carbon builds on the same multi-layer approach.

If you work in cybersecurity or large-scale coding, prepare evaluation harnesses now. Track SEC-bench, ExploitGym, and CWE-bench style tasks so you can measure gains when access opens.

Monitor the Fairwind Program page and Google DeepMind announcements for partner expansion timelines. Sign up for relevant Google AI or Cloud newsletters if you are an enterprise user.

For everyday Gemini app users, Carbon will appear later. Continue using Argon or earlier models for current document editing, Connected Apps, and mobile features.

What Comes Next

Carbon demonstrates rapid iteration at the frontier. Google moved from Argon to Carbon in two weeks while tightening safety metrics. The same approach will likely continue.

Expect further details on API availability, context lengths, and tool-use improvements as the Fairwind cohort reports results. Pricing and rate limits will follow the pattern set by Argon.

Developer workspace with multiple screens showing code and analytics

Conclusion

Gemini 4 Carbon sets new marks in cybersecurity defense and long-horizon coding while improving alignment metrics. Access remains limited to trusted partners for now, with a clear path toward developers and consumers. Track official channels for the next phase and prepare evaluation workloads so you can adopt the model quickly when it becomes available.

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