Google has introduced the flagship Gemini 4 Hydrogen model

Google DeepMind has announced the release of Gemini 4 Hydrogen, a new flagship model focused on high-performance computing and complex logical tasks. The developers state that the model's architecture has been completely redesigned to increase the efficiency of processing long context windows and improve the accuracy of responses in multimodal scenarios.

A key feature of Gemini 4 Hydrogen is its optimization for real-time streaming data. The model demonstrates a 40% increase in token generation speed compared to the previous version, Gemini 4 Carbon. Internal tests show that the new architecture handles multi-step planning and programming code generation better, reducing the number of logical errors when executing complex queries.

The model is already available to enterprise customers via API on the Google Cloud platform, as well as in Google AI Studio and the Gemini app. Developers can integrate Gemini 4 Hydrogen into their applications using updated tools for working with multimodal inputs, including video, audio, and text documents. The cost of using the API is $1.50 per 1 million input tokens.

The update allows companies to deploy more complex AI agents capable of autonomously performing tasks in corporate environments. Thanks to improved long-context support, the system more effectively analyzes arrays of technical documentation and financial reports, which reduces the need for additional fine-tuning of the model for niche tasks.