Google introduces Gemini 4 Hydrogen for coding and agent workflows
Google's post dated 12 November 2026 introduces Gemini 4 Hydrogen for coding and agent workflows. It says the price is flat across the 1 million-token context window, at $1.50 per million input tokens and $7.50 per million output tokens. A later section says Hydrogen pairs a native 1 million-token input with up to 1 million output tokens. The post does not state a model id, and it does not say the weights are released.
Source: Google (opens in a new tab), 12 Nov 2026
Google's post dated 12 November 2026 introduces Gemini 4 Hydrogen for coding and agent workflows. It says the price is flat across the 1 million-token context window, at $1.50 per million input tokens and $7.50 per million output tokens. A later section says Hydrogen pairs a native 1 million-token input with up to 1 million output tokens. The post does not state a model id, and it does not say the weights are released.
The post says Hydrogen is rolling out the same day for developers in the Gemini API in Google AI Studio and in Android Studio, for enterprises in Gemini for business, and in the Gemini app and Google Search for all users. It says paid Google AI Pro and Ultra subscribers can use it in Google Antigravity, and that free users of the Gemini app get it through automatic model selection when it is the model chosen for the prompt. It describes four thinking levels: low, medium, high, which is the default, and xhigh. The stated token price is the flat rate above. The post does not print a separate price for each thinking level.
On Google's own comparisons, Hydrogen scores 51 against 50 for Argon on the Artificial Analysis Intelligence Index at the default high thinking level, and 54 at xhigh. The post says it finishes tasks 2.5 times faster than Gemini 3.8 Flash at the high default setting, and that Terminal-Bench 4.1 scores are 57% against 18.2% for that earlier model. Those figures are Google's.
What it means for business: the API price on the post is $1.50 and $7.50 per million tokens across the 1 million-token window. The post does not say the weights are available to download. This describes the announcement. It is not advice on connecting the model to a system.