Gemini 4 Carbon vs Argon: What Has Changed?
Gemini 4 Carbon improves on Argon in coding, cybersecurity, and extended multi-step tasks. As of November 1, 2026, however, Argon is available to eligible consumers and developers, while Carbon is being rolled out in stages to selected cybersecurity defenders and trusted partners.
๐ Key takeaways
Carbon was announced on October 28, 2026, after Argon.
Carbon scores 59 versus Argonโs 50 on the Artificial Analysis Intelligence Index v5.0.
On Terminal-Bench 4.0, Carbon scores 65.2% versus 57.1% for Argon.
Carbon places particular emphasis on identifying, validating, and fixing security vulnerabilities.
Argon is already available through consumer and developer products; Carbon access remains limited.
โ๏ธ What is the main difference?
Argon is a flagship general-purpose reasoning model built for demanding software engineering, research, and professional knowledge work. Carbon builds on that foundation with a stronger focus on reliably completing complicated tasks that span many steps.
Category | Gemini 4 Argon | Gemini 4 Carbon |
|---|---|---|
Primary focus | Advanced reasoning and professional work | Stronger coding, security, and long-running agents |
AI Intelligence Index | 50 | 59 |
Terminal-Bench 4.0 | 57.1% | 65.2% |
Availability | Consumer and developer access | Restricted early access |
These figures describe performance on defined evaluations. They do not mean Carbon will be proportionally faster or more accurate on every real-world task.
๐ป How much better is Carbon at coding?
Carbon is designed to go beyond generating snippets. Its focus is on investigating failures, editing code, and checking fixes across lengthy engineering workflows. This can matter when working with large codebases or problems that require several attempts.
In Google DeepMindโs published comparison, Carbon scored 9.6% on the agentic coding benchmark SWE-sweep, compared with Argonโs 4.3%. These are benchmark outcomes, not guaranteed completion rates for real software projects.
๐ก๏ธ What changed in cybersecurity?
Carbon targets three stages of defensive security: finding vulnerabilities, testing whether they present a real risk, and repairing the underlying issue. Google reported scores of 88.2% on SEC-bench Pro for vulnerability discovery, 54.8% on ExploitGym for exploit validation, and 71.0% on CWE-bench for patching.
Google also reported more than twice Argonโs success rate on an internal secure-code-generation evaluation. Internal testing should not be confused with independently verified performance in every production environment. Human review and security testing are still necessary.
๐ฐ What about pricing and access?
Google announced the same introductory API pricing for Carbon as for Argon: $2 per million input tokens and $10 per million output tokens. This is announced launch pricing, not evidence that Carbon is currently open to all API users. Google lists post-introductory Carbon prices of $4 and $20, respectively.
Argon became available to Google AI Pro and Ultra subscribers in the Gemini app, along with developer and enterprise channels, on October 13, 2026. Carbon is initially limited to selected cyber defenders and trusted partners in the Fairwind Program. A general-access date has not been confirmed in the announcement.
โ Which model should you use today?
For writing, research, coding assistance, and other work you want to start today, Argon is the practical option if your account has access. If your main interest is advanced security work or long-running engineering agents, watch Carbonโs rollout and assess real-world results once it becomes available.
Start by checking the model selector in the Gemini app for Argon access, then test it on a task you actually need to complete.