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Gemini 4 Carbon rolling out to Gemini app for AI Ultra, Argon remains

Google has rolled out Gemini 4 Carbon to the Gemini app, AI Mode, and Antigravity for AI Ultra subscribers, following the model's preview in late October 2026, while Argon remains available to AI Pro subscribers and above. Google says Carbon is built for tasks that test a model's intelligence limits, and it ranks #1 on the new Multimodal Knowledge Agents (MKA) benchmark developed with Artificial Analysis, using 3X fewer tokens than the next best model across 200 tasks. Introductory pricing is $2 per million input tokens and $10 per million output tokens until November 30, after which Carbon costs $4 per 1M input tokens and $20 per 1M output tokens.

by read3 min views3 publishedNov 10, 2026
Gemini 4 Carbon rolling out to Gemini app for AI Ultra, Argon remains
Image: 9To5Google (auto-discovered)

Following the preview at the end of last month, Google is now bringing its latest Gemini 4 Carbon model to the Gemini app.

AI Ultra subscribers can now access Carbon in the Gemini app, AI Mode, and Antigravity. Notably, Argon (AI Pro and up) will remain available alongside the new model.

Officially, Google says “Argon 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.” Examples include “complex, multi-step coding and debugging and open-ended scientific research and discovery.”

To showcase performance on larger, more complex projects, Google Antigravity is previewing /swarm. This turns a “single prompt into a coordinated team of agents you can track in real time.”

Developers can assign Carbon to roles that demand the deepest reasoning, like architectural design, coordination, and auditing, while pairing it with faster, lighter models across parallel isolated workspaces and adversarial verifiers that test every change.

For legal, finance, and enterprise work, Carbon is said to bring “higher-precision knowledge work, artifact generation, and data analysis.” This includes how the model will follow “strict schemas and formatting to generate polished and precise spreadsheets, presentations, and reports.” Existing benchmarks don’t adequately capture how agents reason natively over dense files with charts, images, blueprints, schematics, and tables, so we partnered with Artificial Analysis to launch the new Multimodal Knowledge Agents (MKA) benchmark. Carbon ranks #1 while using 3X fewer tokens than the next best model across 200 tasks that test a model’s multimodal performance in agentic workflows.

Other domain highlights include:

  • Carbon performs exceptionally well on engineering tasks that require multi-agent collaboration like multi-package migrations, cross-subsystem root-cause investigations, and complex architectural redesigns.
  • For web app development , it runs build-and-verify loops, recovers from errors, and checks both its code and the rendered UI to produce complete, working applications.
  • Stronger visual design, spatial reasoning, and attention to environmental detail also carry over to 3D game development and creative coding.

The introductory pricing for Carbon is $2 per million input tokens and $10 per million output tokens until November 30. Afterward, it will cost $4 per 1M input tokens and $20 per 1M output tokens.

Carbon is also available:

  • For developers : Build with the Gemini API paid tier in AI Studio and Android Studio, and if you’re a Google AI Ultra subscriber, you can try it in Google Antigravity and AI Studio.
  • For enterprises : Try it inGemini for business via the API or model drop down, Google Antigravity, or specialized agents like CodeMender and AlphaEvolve.
  • For scientists & researchers :Apply for a chance to get access to both Argon and Carbon via Google Antigravity’s highest usage tier free of charge for 6 months (onboarded on a rolling basis), subject to eligibility, capacity, and selection.
  • For cybersecurity defenders : Apply to join theFairwind Program to get access to Carbon for cyber on a rolling basis.
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