Google has launched Gemini 4 Hydrogen, a faster Gemini 4 model for everyday coding and agentic work, and is making it available across the Gemini app, Google Search, Google AI Studio, the Gemini API and Gemini for business. Paid Google AI Pro and Ultra subscribers can also use it in Google Antigravity. Google announced the model at 18:00 UTC on November 12.
Hydrogen sits alongside Gemini 4 Carbon and Gemini 4 Argon, which Google calls its frontier models for deep, long-horizon reasoning. Google says Hydrogen is "built for rapid execution across diverse agentic workflows," either on its own or paired with Carbon and Argon.
Price and Benchmarks
Google prices Hydrogen at $1.50 per million input tokens and $7.50 per million output tokens, flat across its full 1 million-token context window. The model takes up to 1 million input tokens and can produce up to 1 million output tokens.
Google says Hydrogen scores 51 on the Artificial Analysis Intelligence Index at its default high thinking level, ahead of Argon's 50, and reaches 54 at its highest xhigh setting. Compared with Gemini 3.8 Flash, Google says it finishes tasks 2.5 times faster at the default setting, more than triples the Terminal-Bench 4.1 score (57% vs. 18.2%) and cuts fabricated claims by more than five times.
Read more: Google's google-cloud-developer Plugin Adds Antigravity Guardrails
Orchestrator in Google Antigravity
Google also introduced Orchestrator, a feature in Google Antigravity that switches between models such as Carbon and Hydrogen within the same session instead of keeping every step with one model. On Terminal-Bench 4.0, Google says Orchestrator reached task success close to Carbon's while using 24% less quota on average and finishing 19% faster. Those figures describe Orchestrator's mix of models, not Hydrogen on its own.
For work involving parallel agents, Google says Carbon can coordinate while Hydrogen runs worker and verifier agents. Those agents can implement changes and test them concurrently in separate workspaces, an approach Google says can speed complex projects without increasing token costs.
In a separate developer introduction, Google said developers could begin using Gemini 4 Hydrogen through Google AI Studio today. That introduction presents the model as intended for agentic coding and debugging, with an emphasis on cost efficiency.
