Google has expanded its Gemini 4 lineup with a model designed to prioritise speed and efficiency across coding, research and agent-based tasks. Announced on Thursday, Gemini 4 Hydrogen is positioned as a more accessible option for everyday AI workflows that need quick execution rather than extended reasoning.
The model is rolling out across it’s developer tools, enterprise services, Gemini app and Search.
Faster execution and multi-model collaboration
It describes Hydrogen as a model for tasks such as writing code, running tests and checking changes. It can also work alongside Gemini 4 Carbon and Gemini 4 Argon in multi-model workflows.
On the Artificial Analysis Intelligence Index, Hydrogen scored 51 at its default high thinking level, compared with Argon’s 50. Its score increased to 54 at the highest xhigh setting. It also claims it completes tasks faster than other models in its category.
Google is introducing Orchestrator in Google Antigravity to switch between models during a session. On Terminal-Bench 4.0, the company says Orchestrator achieved task success rates close to Carbon while using 24% less quota and completing tasks 19% faster on average.
In parallel-agent workflows, Carbon can coordinate tasks while Hydrogen handles worker and verifier roles, allowing code to be developed and tested across separate workspaces.
Coding, research and large-context support
Hydrogen is designed for debugging, navigating codebases, resolving issues and making focused code changes. It can also run file-reading and search operations in parallel to inspect large repositories.
The model supports up to 1 million input tokens and 1 million output tokens. This allows it to process documents, spreadsheets, charts, audio and recorded video to produce reports and structured outputs. It offers 4 thinking levels: low, medium, high and xhigh.
Gemini app and Search integration
In the Gemini app, Hydrogen can follow instructions, use tools and manage multi-step requests with less back-and-forth. It can help create emails, study guides and documents while maintaining the requested tone and format.
In Google Search, the model is expected to improve responses to complex queries involving multiple requirements or typos. It also says it will provide more visual, easy-to-scan answers and a wider range of relevant links through improvements to query fan-out.
Global availability
Developers can access Hydrogen through the Gemini API in Google AI Studio and the paid tier of Android Studio. Enterprise access includes Gemini for business, Google Antigravity and Gemini in Google Sheets for eligible subscriptions.
Consumers can select the model in the Gemini app, while Google Search access is available to all users. Gemini in Google Sheets is also available to Google AI Pro and Ultra subscribers.
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