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Google Launches Gemini 4 Hydrogen for Faster Coding and AI Workflows
Google Launches Gemini 4 Hydrogen for Faster Coding and AI Workflows

Google Launches Gemini 4 Hydrogen for Faster Coding and AI Workflows

The new model scores higher than Gemini 4 Argon on the Artificial Analysis Intelligence benchmark.

Published Updated

Key takeaways

  • Google launched Gemini 4 Hydrogen to enhance coding, research, and business tasks.
  • Hydrogen excels in writing code, fixing errors, and analysing information, outperforming Gemini 4 Argon.
  • The Orchestrator feature in Google Antigravity automates model selection based on task complexity.
  • Gemini 4 Hydrogen scored higher on the Artificial Analysis Intelligence Index compared to previous models.
  • The model supports a unified context window of up to 1 million tokens for various document types.
5 min

Google has launched Gemini 4 Hydrogen, targeting coding, research, and everyday business tasks. The model is part of Google's Gemini 4 family, which also includes Gemini 4 Carbon and Gemini 4 Argon.


According to Google, Hydrogen is designed to handle tasks such as writing code, fixing errors, running tests, and analysing information. It can also work alongside other Gemini models, allowing different models to handle tasks based on their complexity.

Google has also introduced Orchestrator in its Google Antigravity platform. The feature automatically switches between models based on the task. For example, Carbon can handle complex reasoning, while Hydrogen can take care of coding and testing.

On Terminal-Bench 4.0, Orchestrator achieved task success rates close to Carbon while consuming 24% less quota on average and completing tasks 19% faster, Google said.

Google said Gemini 4 Hydrogen scored 51 on the Artificial Analysis Intelligence Index at its default high thinking level, compared with 50 for Gemini 4 Argon. Its score rises to 54 at the highest extra-high thinking setting.

Compared with Gemini 3.8 Flash, Google said that Hydrogen completes tasks 2.5 times faster at its default high thinking level. It also scored 57% on Terminal-Bench 4.1, compared with 18.2% for Gemini 3.8 Flash.

The model has a unified context window of up to 1 million tokens, covering both input and output. Google said it can process documents, spreadsheets, charts, audio, and recorded video to generate reports and other structured outputs.

Google said Gemini 4 Hydrogen is rolling out globally across its developer, enterprise, and consumer products. Developers can access it through the Gemini API, Google AI Studio, and the paid tier of Android Studio. Enterprise customers can use it through Gemini for business and eligible Google Sheets subscriptions.

The model is also available through the Gemini app and Google Search. Free Gemini app users receive access through automatic model selection when Google determines it is suitable for their prompts. Paid Google AI Pro and Ultra subscribers can access it through Google Antigravity and Gemini in Sheets.

Google has priced Hydrogen at $1.50 per million input tokens and $7.50 per million output tokens across its 1-million-token context window.


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