Google introduces Gemini 4 Hydrogen

Summary

On November 12, Google introduced Gemini 4 Hydrogen. Unlike the deep-reasoning frontier models Carbon and Argon, it is a fast execution model for everyday coding and agentic work, and it is available immediately across AI Studio, the Gemini API, the Gemini app, Search, and paid Antigravity tiers. By Google's own published numbers, it scores 51 on the Artificial Analysis Intelligence Index versus Argon's 50, reaching 54 at its highest thinking setting, with flat pricing of $1.50 per million input tokens and $7.50 per million output tokens across the full one-million-token context. A new Orchestrator in Antigravity automatically switches between Carbon and Hydrogen within a single session.

Why it matters for our work

As cheap execution models get stronger, splitting work between expensive frontier models and low-cost executors becomes practical multi-model operations. The immediate effect is a direct drop in the cost of delegating repetitive coding and document work to agents.

Translated from the Korean original. Summaries may be translated and edited. Commentary reflects our perspective; forecasts remain the source’s views.