Gemini 4 Carbon, Google’s latest AI model, builds on the foundation of its predecessor, Gemini 4 Argon, with significant improvements across creative and technical benchmarks. In game creation, for instance, Carbon produced a space fighter game with smoother physics, sharper visuals, and dynamic gameplay elements like boosts and enemy interactions, outperforming Argon’s blockier, less responsive results. These advancements highlight Carbon’s ability to handle complex workflows with precision and efficiency, as demonstrated by Paul Lipsky.
Explore how Gemini 4 Carbon excels in diverse applications, from generating detailed code-based graphics to resolving intricate bugs in app development. You’ll gain insight into its capabilities for writing professional-grade scripts, editing videos autonomously, and tackling long horizon tasks requiring sustained focus. This explainer also examines its accessibility, pricing, and resource requirements, helping you understand where Carbon fits into demanding professional workflows.
TL;DR Key Takeaways :
- Gemini 4 Carbon, launched on November 10, 2026, outperforms its predecessor, Argon, across all benchmarks, excelling in game creation, writing, app development, and bug fixing, with notable efficiency in complex workflows and “long horizon work.”
- In testing, Carbon demonstrated superior creative and technical capabilities, producing smoother, more visually refined games and innovative mechanics, such as a capture-the-flag game with paintballs, and excelling in graphical fidelity and responsiveness.
- Carbon’s app development and bug-fixing abilities were highlighted by creating a Free Books app comparable to $60/month software and resolving a complex app-switching tool issue that other models failed to fix, achieving this in a single attempt.
- Carbon showcased advanced writing and knowledge work capabilities, producing professional-grade scripts, compelling stories, and autonomously editing videos with “perfect” results, though slower than Opus 5.5 in processing tasks.
- Gemini 4 Carbon is available to Google AI Ultra subscribers at an introductory price of $2 per million input tokens and $10 per million output tokens, with prices doubling after November 2026, but its high resource consumption and limited initial rollout to Ultra users may restrict broader accessibility.
Gemini 4 Carbon: A Major Leap Forward
Gemini 4 Carbon, Google’s latest advanced AI model, has launched, offering a significant upgrade over its predecessor, Gemini 4 Argon. Released just four weeks after Argon, Carbon surpasses it across all benchmarks, excelling in game creation, writing, app development, and bug fixing. Designed for cyber security and “long horizon work”, tasks requiring multiple steps and sustained focus, Carbon handles complex workflows with notable efficiency.
Performance and Benchmarks
Testing shows that Gemini 4 Carbon outperforms Argon in every benchmark, excelling in both creative and technical tasks. For example, Carbon generated smoother, more visually refined games. A space fighter game it created featured proper spinning physics, sharper visuals, and better responsiveness, while Argon’s version had blockier ships, cluttered visuals, and less fluid gameplay. The game also included dynamic elements like boosts, shooting enemies, and navigating through rings and archways, showcasing Carbon’s ability to create engaging, detailed gameplay.
Similarly, a top-down capture-the-flag game generated by Carbon was described as “a lot less blocky” and “a lot smoother” than Argon’s version, which had blurry edges and muted visuals. Carbon’s creative twist of using paintballs instead of traditional weapons further highlighted its ability to innovate within game mechanics. These results emphasize Carbon’s advancements in graphical fidelity and gameplay responsiveness.
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Image Creation and Code-Based Graphics
Carbon also excelled in generating images through code. When tasked with creating a portrait of an old man, it delivered a sharper, more detailed result than Argon, whose output included flaws like a misaligned mouth atop a beard. In a more complex test, Carbon recreated a photo of the creator on a hike using only handwritten math, without embedding the photo’s data.
The recreated image matched the colors, layout, hat, glasses, and beard of the original photo, though it resembled a video game character. While less realistic, this test demonstrated Carbon’s ability to follow instructions precisely and tackle complex challenges without shortcuts. When asked to replicate Argon’s data-embedding method, Carbon completed the task effortlessly.
App Development and Bug Fixing
Carbon’s app development capabilities were highlighted through a mockup called Free Books. This app, designed for manually editing transactions with CSV files, performed comparably to commercial software priced at $60 per month. However, it lacks the ability to automatically import transactions from banks, a limitation noted during testing. The app’s visual design, created without specific guidance, was described as having a “very Google-looking or Google-vibecoded” aesthetic. However, Carbon’s tendency to “cram in too much” may lead to overly complex designs for some users.
In bug fixing, Carbon demonstrated exceptional problem-solving skills. It resolved an issue in an app-switching tool, where minimized apps displayed only as icons instead of preview windows, that other models, including Opus 5.5, Astra, and Fable 5.1, failed to fix. Carbon achieved this in a single attempt, enabling the tool to display preview windows for minimized apps alongside active ones when using command and tab. This highlights Carbon’s ability to address technical challenges effectively.
Writing and Knowledge Work
Carbon’s writing capabilities are another key strength. It produced a compelling short story about an old man abducted by aliens and a professional-grade script for a video. These tasks were executed using Gemini 4 Carbon High, with the model excelling in tone, style, and coherence. For image-related tasks, the medium setting was used instead of high.
In Google’s Antigravity app, Carbon autonomously edited videos, selecting B-roll, creating motion graphics, and removing mistakes and silences without user input. Although this process took longer than with Opus 5.5, the results were described as “perfect” in a single attempt, making it a powerful tool for knowledge work. Antigravity, originally an AI coding app, has evolved into a versatile tool.
The updated Antigravity 2.0 includes developer features like code diffs, terminal panels, and git branches. Tens of thousands of Google employees outside of engineering reportedly use Antigravity daily for routine tasks. A dedicated knowledge work mode, which removes coding tools but retains the same AI agent, excels at editing and creating motion graphics autonomously, though it processes tasks more slowly than Opus 5.5.
Availability and Pricing
Gemini 4 Carbon began its global rollout on November 10, 2026. Google AI Ultra subscribers can access it through the Gemini app, Google Antigravity, and AI mode in Google Search. Developers on the pay tier can access Carbon via the Gemini API in Google AI Studio and Android Studio, while businesses can use it through Gemini for Business.
The introductory pricing for Carbon is $2 per million input tokens and $10 per million output tokens, valid through November 2026. After this period, prices will increase to $4 and $20, respectively. Google is prioritizing Ultra users for the rollout, with Pro users expected to gain access later. The limited initial availability to Ultra users has been noted as a drawback, potentially restricting broader access.
Resource Consumption and Use Cases
Despite its impressive capabilities, Carbon’s high resource consumption makes it less suitable for routine tasks. For most activities, 3.8 flash is recommended, with Carbon reserved for more demanding workflows or complex projects. While everyday tasks may not show a significant difference between Argon and Carbon, the latter offers noticeable improvements for deeper brainstorming and app creation. Carbon is particularly well-suited for tasks requiring extended focus, such as long horizon work.
Gemini 4 Carbon represents a substantial leap forward, particularly in benchmarks, game creation, writing, and bug fixing. Its ability to handle complex tasks, follow instructions precisely, and deliver high-quality results positions it as a valuable tool for professionals seeking advanced AI capabilities. However, its high resource consumption and limited initial rollout to Ultra users may restrict its accessibility. For those with access, Carbon sets a new standard for AI performance, offering significant advancements over its predecessor.
Media Credit: Paul J Lipsky
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