Google publishes Gemini 4 Carbon developer guide, lists API changes and pricing
Overview
Google publishes a developer guide for Gemini 4 Carbon covering API changes, decoding of up to 1M tokens, and multi-agent patterns.
Google AI Studio says the guide covers how to choose between Carbon and Gemini 4 Argon. Carbon has a unified 1M-token context window and thinking_level settings of low, medium, and high. Introductory pricing is $2 input and $10 output per 1M tokens through November 30, 2026, rising to $4 and $20 from December 1, with 95% off cached input tokens. Access is through the paid Gemini API tier and for Google AI Ultra subscribers in AI Studio and Google Antigravity. Scientists and researchers can apply for six months of free access in Antigravity, and cybersecurity defenders can apply to the Fairwind Program.
Philipp Schmid, who works on Google's developer relations, says upgrading from Argon requires only changing the model ID to gemini-4-carbon and that he uses medium thinking_level for most tasks. He also describes a /swarm preview in Antigravity that creates a multi-agent team communicating through a message board.
Written by AI from the articles below · updated Nov 10, 1:12 PM ET
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Google AI Studio@GoogleAIStudioOfficialGoogle publishes a developer guide for Gemini 4 CarbonAIGoogle explains how to build with Gemini 4 Carbon, choosing between it and Gemini 4 Argon. Carbon supports a unified 1M-token context window, thinking_level settings of low, medium, and high, and introductory pricing of $2 input and $10 output per 1M tokens through November 30, 2026. Access is available through the paid Gemini API tier and for Google AI Ultra subscribers in AI Studio and Google Antigravity.
Philipp Schmid@_philschmidOfficialGoogle publishes a developer guide for Gemini 4 CarbonAIGoogle publishes a practical developer guide for Gemini 4 Carbon covering API changes, decoding of up to 1M tokens, and multi-agent patterns. Schmid says upgrading from Argon requires only changing the model ID to gemini-4-carbon and that he uses medium thinking_level for most tasks. He adds that the new /swarm preview in Antigravity creates a multi-agent team that communicates through a message board.
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