Google DeepMind Releases Gemini 4 Carbon Model

Gemini 4 Carbon Now Available

Google DeepMind is making Gemini 4 Carbon available to developers, enterprises, scientists, and consumers. The company describes Carbon as its strongest model, with frontier performance in cybersecurity capabilities and long-horizon agentic workflows across complex knowledge work, software engineering, and scientific reasoning.

Carbon was released two weeks ago to a set of cybersecurity defenders via the Fairwind Program. It follows the launch of Gemini 4 Argon, which Google DeepMind says remains the ideal choice for the majority of software engineering and knowledge work, while Carbon is built for tasks that test the limits of a model’s intelligence.

Availability and Pricing

Gemini 4 Carbon is available via the API in Google AI Studio and Gemini for business for all paying developers and enterprises, at the same introductory price as Gemini 4 Argon ($2 per million input tokens and $10 per million output tokens). It is also rolling out to all Google AI Ultra subscribers in Google Antigravity, the Gemini app, and AI Mode in Search.

Benchmarks and Capabilities

Across independent benchmarks, Carbon ranks #1 on CursorBench 4.0, Perplexity’s WANDR, and Zapier’s AutomationBench at more than 2X lower cost per task compared to the next best external model, according to Google DeepMind. On the new Multimodal Knowledge Agent (MKA) benchmark, developed with Artificial Analysis, Carbon ranks #2 while being more than 6X lower in average cost per task compared to the top performing model.

In pre-release evaluations, Carbon matched the performance of the best model tested on deep financial research on Hebbia’s E2E Financial Agentic evaluation, and ranked at the top out of 23 frontier model configurations on Balyasny Asset Management’s General Financial Intelligence benchmark.

Safety and Security

Google DeepMind states that in simulated cyberattack testing environments seeded with ExploitBench and CyScenarioBench, Carbon blocked 99% of attack trajectories from its adaptive red-teaming agent. The Carbon safeguards lowered the per-attempt breach rate to just 0.8%, down from 3.1% on Argon. The safeguards also lowered the automated cyberattack query success rate to 2.17% in Gray Swan’s testing, compared to 9.86% on Argon. External testing by Trajectory Labs found zero new universal jailbreaks across 132 hours and over 13,000 requests.

Why it matters

The release expands access to Google DeepMind’s most capable model to date, with pricing unchanged from the previous frontier model, while the company highlights new safety mitigations alongside stronger cybersecurity and reasoning capabilities.

Sources

• blog.google: Gemini 4 Carbon is now available

This article was drafted with AI assistance and checked against the sources above. Company claims are reported as claims. Cover image is AI-generated.