Gemini 4 Carbon Now Available: Google’s Most Powerful AI Model, Pricing and Access

Google has started the wider rollout of Gemini 4 Carbon, its most advanced AI model for complex and demanding tasks. The model is aimed at developers, businesses, researchers and users who need AI to handle long, multi-step jobs.

Carbon is designed for areas such as advanced coding, cybersecurity, software development and scientific research. It currently ranks at the top of the Artificial Analysis Intelligence Index with a score of 59.

Google initially introduced Gemini 4 Carbon on October 28, 2026, with access limited to a small group of cybersecurity professionals. The broader release began on November 10.

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Gemini 4 Carbon at a Glance

Detail	Gemini 4 Carbon
Announcement	October 28, 2026
Wider availability	November 10, 2026
Designed for	Complex coding, cybersecurity and research
Introductory API price	$2 per million input tokens
Output price	$10 per million output tokens
Price after November 30	$4 input / $20 output per million tokens
Consumer access	Google AI Ultra

Gemini 4 Carbon vs Gemini 4 Argon

Google launched Gemini 4 Carbon only a short time after Gemini 4 Argon. However, the two models are designed for different types of users.

Argon remains the better option for everyday coding, analysis and general knowledge work. Carbon is aimed at much harder tasks that require more reasoning and longer workflows.

Inside the Gemini app, Argon is presented as the model for “Code & analysis,” while Carbon is positioned for “Most complex work.”

Google has also removed Gemini 3.1 Pro from the app with the arrival of the new model.

What Can Gemini 4 Carbon Do?

Strong focus on cybersecurity

Cybersecurity is one of the areas where Carbon is expected to make the biggest impact.

Google reports that the model achieved 88.2% on SEC-bench Pro, a benchmark focused on identifying software vulnerabilities. It also scored 71.0% on CWE-bench, which evaluates vulnerability patching.

During Google’s internal testing, Carbon was able to identify previously unknown vulnerabilities in major software-as-a-service products within a short period.

Security company Wiz has also reported strong results for Carbon in web penetration-testing benchmarks.

Because advanced cybersecurity capabilities can potentially be misused, Google initially made the model available to cybersecurity defenders through its Fairwind Program. Google says Carbon follows the same layered safety approach used with Argon.

Built for complex coding projects

Carbon is designed to work on large software projects that require multiple steps and extended reasoning.

Google’s Antigravity coding platform is also testing a /swarm command. This allows Carbon to take on different responsibilities, such as architecture and code review, while multiple agents work on development and testing tasks at the same time.

This approach could be particularly useful for complicated projects where planning, coding, testing and reviewing all need to happen together.

Useful for scientific research

Carbon is also being tested for research-related workloads.

For example, Axiom Bio reported that Carbon improved protein homolog retrieval by around 40 times on average across seven challenging protein families.

This does not mean the model has created a new medicine or solved a biological problem on its own. Instead, the result shows how Carbon can help researchers search through and work with complex scientific information.

Designed to reduce unsupported answers

Another focus of Carbon is improving the reliability of its responses.

According to Google, Carbon produces around half as many unsupported claims as Argon in its testing.

When a question is unclear, the model is designed to examine the available information and identify uncertainty instead of simply guessing. This can be particularly important for research and technical tasks where incorrect information can cause problems.

Gemini 4 Carbon vs Other AI Models

Google’s published benchmark comparison includes Gemini 4 Carbon alongside Gemini 4 Argon, OpenAI’s GPT-6 Astra and Anthropic’s Claude Opus 5.5 and Claude Fable 5.1.

According to Google’s own benchmark results, Carbon leads in 15 of the 17 tests included in the comparison.

However, it does not win every test. On FrontierSWE 2, GPT-6 Astra scores 65.5%, while Claude Opus 5.5 leads the OSWorld-2.1 test with 87.2%.

These results come from Google’s published testing, so independent evaluations will be important for understanding how Carbon performs in real-world use.

Gemini 4 Carbon Price and Availability

Access depends on how you plan to use the model.

• Developers: Carbon is available through the paid Gemini API in Google AI Studio and Android Studio.
• Businesses: Access is available through Gemini for business.
• Consumers: Google AI Ultra subscribers can use Carbon through the Gemini app, AI Mode in Search and Antigravity.
• Researchers: Eligible scientists can apply for six months of free access to Argon and Carbon through Antigravity’s highest usage tier, although access depends on eligibility and available capacity.
• Cybersecurity professionals: Defenders can apply through Google’s Fairwind Program.

The introductory Gemini API pricing is $2 per million input tokens and $10 per million output tokens until November 30.

After that date, the prices are scheduled to increase to $4 per million input tokens and $20 per million output tokens.

Cached input tokens are priced at 95% less than the standard input rate.

Can You Use Gemini 4 Carbon in India?

Yes. Carbon is available to Indian users through Google AI Ultra, subject to the plan’s availability and eligibility.

According to the information provided, Google’s Ultra plans in India start at around ₹6,500 per month, while the highest Ultra tier costs around ₹19,500 per month.

Google AI Plus and Pro users do not currently receive Carbon access, although the Pro plan includes Argon.

Ultra subscribers also receive access to Google’s newer video model, Gemini Omni 1.2 Flash, through the Gemini app.

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Final Verdict

Gemini 4 Carbon is designed for users who need more than ordinary AI assistance. Its main focus is on difficult coding projects, cybersecurity, research and other tasks that require extended reasoning.

For everyday questions, coding and general productivity, Gemini 4 Argon remains the more practical choice. Carbon is aimed at users who regularly work with complex technical problems and need a model built for longer, more demanding workflows.

For users in India, the biggest limitation is access: Carbon is currently tied to Google AI Ultra, while cheaper Google AI plans do not include the model.