Google Introduces Gemini 4 Hydrogen Model for Fast Execution and Agentic Workflows

According to Google DeepMind:

Background and Positioning

Google is rolling out Gemini 4 Hydrogen to bring cutting-edge intelligence and speed to everyday coding and agentic workflows. While frontier models like Carbon and Argon handle deep, long-horizon reasoning on complex problems, Hydrogen is built as an efficient execution engine for rapid tasks and multi-model collaboration.

Performance and Features

According to Google, Hydrogen surpasses Argon on the Artificial Analysis Intelligence Index at its default high-thinking level. It features a 1-million-token context window with flat pricing of $1.50 per million input tokens and $7.50 per million output tokens. In developer benchmarks, it triples its predecessor's Terminal-Bench scores and significantly reduces hallucinated claims. The model supports four adjustable thinking levels to balance quality, latency, and cost.

Ecosystem Integration

Hydrogen is rolling out globally across the Gemini API, Google AI Studio, the Gemini app, Google Search, and enterprise tools. Google is also introducing Orchestrator in Google Antigravity, a feature that dynamically switches between models like Carbon and Hydrogen within a single session to optimize task success rates while reducing token quota consumption.