Google has unveiled Gemini 4 Carbon, which it calls its strongest frontier model, just two weeks after launching Gemini 4 Argon. The company says the model offers state-of-the-art cybersecurity and long-horizon capabilities. Google credited its researchers and AI models with “working hand in hand to advance capabilities faster.”
What Is Gemini 4 Carbon’s Score on the Intelligence Index?

Gemini 4 Carbon ranks first on version 5.0 of the Artificial Analysis Intelligence Index with a score of 59. Google said the upgrades followed user feedback on its previous release.
Google also claims an 89-point jump to fourth place on the WebDev Arena leaderboard. The gains came in full-stack web development, scientific tasks and multimodal understanding.

How Did Gemini 4 Carbon Perform in Cybersecurity Tests?
- SEC-bench Pro (finding vulnerabilities): 88.2%
- ExploitGym (exploitation): 54.8%
- CWE-bench (patching): 71%
Google says the model holds a “firm lead” in these cybersecurity benchmarks. The company also reports a strong uplift in generating secure code on its internal benchmarks.
Does Gemini 4 Carbon Make Fewer Errors Than Argon?
Google says internal testing shows Carbon cuts unsupported claims by approximately half compared with Argon. In live coding environments with its own teams, the company reports reduced misalignment and fabrication rates.
During multi-step workflows, the model reduces task overreach by 26% and under-service by 29%. It also retrieves relevant sources and surfaces discrepancies to users when facing ambiguity.
What Will Gemini 4 Carbon Cost Developers?
Introductory pricing is US$2 per 1 million input tokens and US$10 per 1 million output tokens. Cached input tokens are discounted by 95%.
Standard pricing rises to US$4 per 1 million input tokens and US$20 per 1 million output tokens. That doubles both rates. Google will first release the model to cybersecurity defenders this week, before rolling it out to developers, businesses and consumers.
What Does Gemini 4 Carbon Mean for Bursa Malaysia Investors?
The announcement names no Bursa Malaysia-listed company and gives no earnings or share-price figures. All pricing is quoted in US dollars, with no ringgit conversion.
Investors may want to watch how the staged rollout and the price change from introductory to standard affect demand for AI tools. Readers tracking AI-linked names can also review our AI Stock Analysis for Malaysians guide.
Key Takeaways
- Gemini 4 Carbon ranks first on the Artificial Analysis Intelligence Index v5.0 with a score of 59.
- Cybersecurity scores: 88.2% (SEC-bench Pro), 54.8% (ExploitGym), 71% (CWE-bench).
- Unsupported claims are cut by about half versus Argon, with task overreach down 26% and under-service down 29%.
- Introductory pricing is US$2 input and US$10 output per 1 million tokens, rising to US$4 and US$20.
- No Bursa Malaysia-listed company is named, so no Bursa stock code applies.
Disclaimer: This article is for information only and is not investment advice. Do your own research before making any investment decision.
Frequently Asked Questions
What is Google Gemini 4 Carbon?
Gemini 4 Carbon is Google’s strongest frontier model, unveiled two weeks after Gemini 4 Argon. Google says it offers state-of-the-art cybersecurity and long-horizon capabilities, and it ranks first on the Artificial Analysis Intelligence Index v5.0 with a score of 59.
How much does Gemini 4 Carbon cost?
Introductory pricing is US$2 per 1 million input tokens and US$10 per 1 million output tokens. Standard pricing rises to US$4 input and US$20 output per 1 million tokens.
When will Gemini 4 Carbon be available to the public?
Google will first make Gemini 4 Carbon available to cybersecurity defenders this week. It will then roll out to developers, businesses and consumers.
Is Google listed on Bursa Malaysia?
This announcement does not mention any Bursa Malaysia listing, so no Bursa stock code applies to this news. Readers should check the listing details of any company before investing.
Source: View Original Article — The content is based on the original publisher. Refer to the original content for accurate info. Contact us for any changes.
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Disclaimer: This article is for informational purposes only and does not constitute financial advice. Always do your own research before making investment decisions.
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