Overview
Gemini 4 Carbon is the Gemini 4 model Google announced on 28 October 2026, two weeks after Gemini 4 Argon reached general availability. The announcement, by Koray Kavukcuoglu, SVP of Google DeepMind and Google's Chief AI Architect, calls it Google's strongest model with state-of-the-art cybersecurity and long-horizon capabilities, built for sustained agentic coding such as root-causing and patching bugs across large codebases.
Google's headline numbers are about security. Carbon scores 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation and 71.0% on CWE-bench for patching, and Google says these three evaluations ran without guardrails. It ranks #1 on version 5.0 of the Artificial Analysis Intelligence Index with a score of 59, and #4 on WebDev Arena at 1769 Elo, up 89 points. Google also reports more than 2x the secure-code success rate of Argon on internal tests.
Rollout is staged. Carbon goes first to a subset of cyber defenders, then to more trusted partners through the Fairwind Program; Google says it will bring the model to developers, businesses and consumers after gathering feedback and iterating on guardrails, and that it takes part in the U.S. government's voluntary pre-release model testing. Google lists an introductory price of $2 per 1M input tokens and $10 per 1M output tokens.
| Released | 2026-10-28 |
|---|---|
| License | Proprietary |
| Weights | API only |
| Parameters | Undisclosed |
| Modalities | Text |
| Status | Limited rollout from 28 October 2026 to a subset of cyber defenders, with more trusted partners added through the Fairwind Program; no developer, business or consumer access at launch. |
Benchmarks
- SEC-bench Pro88.2%
- CWE-bench71%
- ExploitGym54.8%
Scores on a 0–100 scale (25-point gridlines); higher is better. Each benchmark links to its published source.
Pricing
| Input | $2.00 / 1M tokens |
|---|---|
| Output | $10.00 / 1M tokens |
Introductory price; afterwards $4 input and $20 output per 1M tokens. Cached input tokens are 95% off the input price.
Strengths
- 88.2% on SEC-bench Pro vulnerability finding, which Google describes as state of the art
- 54.8% on ExploitGym exploitation and 71.0% on CWE-bench patching
- #1 on the Artificial Analysis Intelligence Index v5.0 with a score of 59
- #4 on WebDev Arena at 1769 Elo, 89 points higher than before
- 0.0% attack success on the Gray Swan indirect prompt-injection benchmark, against 0.7% for Gemini 4 Argon
Best for
- Reach for it for defensive security work, such as finding, triaging and patching vulnerabilities, if your organisation is admitted to Google's rollout
- Reach for it for long-horizon agentic coding, such as root-causing bugs across a large codebase
- Not for general developers at launch: Google gives no public API access yet; Gemini 4 Argon is the Gemini 4 model on the Gemini API
Gemini 4 — every version
The full lineage of the Gemini 4 line, newest first. Every version has its own page — click any to compare specs, benchmarks and pricing.
| Version | Released | Context | License |
|---|---|---|---|
| Gemini 4 Carboncurrent | 2026-10-28 | — | Proprietary |
| Gemini 4 Argon | 2026-09-30 | — | Proprietary |
FAQ
Who can use Gemini 4 Carbon?
Gemini 4 Carbon launched on 28 October 2026 for a subset of cyber defenders only, with access phased to more trusted partners through Google's Fairwind Program. Google says developers, businesses and consumers will get Gemini 4 Carbon after it gathers feedback and iterates on guardrails, but it gave no date.
How much does Gemini 4 Carbon cost?
Google lists an introductory price for Gemini 4 Carbon of $2 per million input tokens and $10 per million output tokens, with cached input tokens 95% off the input price. After the introductory period the price rises to $4 per million input tokens and $20 per million output tokens.
How does Gemini 4 Carbon compare with Gemini 4 Argon?
Google reports that Gemini 4 Carbon has more than 2x the secure-code success rate of Gemini 4 Argon on internal tests, about half as many unsupported claims, and 0.0% attack success on the Gray Swan indirect prompt-injection benchmark against Argon's 0.7%. Argon is the Gemini 4 model developers can call on the Gemini API.