Google releases Gemini 4 Hydrogen, its fast model, with a 1M-token window

What happened

Google says Hydrogen is built for quick execution in agent workflows, either on its own or as the "execution engine" next to Carbon and Argon. To make that pairing automatic, Google also introduced Orchestrator in Google Antigravity.

The model takes up to 1 million input tokens and can return up to 1 million output tokens. Google prices it flat across the whole window: $1.50 per million input tokens and $7.50 per million output tokens.

On the Artificial Analysis Intelligence Index, Google reports a score of 51 at the default high thinking level, ahead of Argon. That is Google's own claim.

It is available in Google AI Studio, the Gemini API, Gemini for business, the Gemini app and Google Search. In Google Antigravity it is available to paid Google AI Pro and Ultra subscribers. Robby Stein, VP of Product at Google Search, told The Verge it is now the default model in AI Mode.

Why it matters for creators

Fast, cheap language models do the background work in creative tools: writing and expanding prompts, planning shot lists, captioning and summarising long footage or documents. A flat price over a 1 million-token window makes long inputs, like full scripts or transcripts, more predictable to budget.

For most creators the visible change is in Google Search and the Gemini app, where Hydrogen now answers by default.