# Gemini 4 Hydrogen: Features, Pricing and Access

By Schnalz.net · 13 November 2026

https://schnalz.net/ai-guides/gemini-4-hydrogen-features-pricing-and-access

> Google released Gemini 4 Hydrogen on 12 November 2026 for fast coding execution, agentic tasks, and search. It features a 1 million output token capacity and costs $1.50 per million input tokens.

## In short

- Gemini 4 Hydrogen is an AI model optimized for rapid coding execution and agentic workflows.
- It features a 1 million-token context window with up to 1 million output tokens.
- Google integrated Gemini 4 Hydrogen globally across Search, Google AI Studio, and Google Antigravity.
- API pricing is flat at $1.50 per million input and $7.50 per million output tokens.

## What is Gemini 4 Hydrogen?

Google DeepMind introduced Gemini 4 Hydrogen on 12 November 2026 as a model built for fast coding execution, agentic tasks, and everyday developer workflows. While frontier models like Gemini 4 Carbon and Argon handle deep architectural design, Gemini 4 Hydrogen acts as a high-efficiency execution engine for writing code, running tests, and processing search queries.

**Gemini 4 Hydrogen details**

- **Developer**: Google DeepMind
- **Release date**: 12 November 2026
- **Context window**: 1 million tokens
- **Output capacity**: Up to 1 million tokens
- **Input pricing**: $1.50 / 1M tokens
- **Output pricing**: $7.50 / 1M tokens

Gemini 4 Hydrogen supports four distinct thinking settings: low, medium, high (which serves as the default setting), and a higher xhigh setting. On the Artificial Analysis Intelligence Index, the model scores 51 at its default high setting and 54 at the xhigh setting, surpassing Gemini 4 Argon's default score of 50.

## How much does Gemini 4 Hydrogen cost?

Google pricing for Gemini 4 Hydrogen remains flat across its entire 1 million-token context window. Developers access the model via the Gemini API and Google AI Studio at fixed rates for inputs and outputs.

- **$1.50** Input cost per 1M tokens
- **$7.50** Output cost per 1M tokens
- **1M** Max input and output context
- **2.5x** Speed gain over 3.8 Flash

For enterprise and consumer access, Gemini 4 Hydrogen is available across all tiers of Google AI Studio, Gemini for business, the consumer Gemini app, Google Search, and paid Google AI Pro and Ultra subscriptions in Google Antigravity.

## What can Gemini 4 Hydrogen do?

Gemini 4 Hydrogen performs iterative repository coding, issue resolution, and targeted code edits without disturbing unrelated files. To inspect complex code bases and SQL databases efficiently, the model batches file-read and search operations in parallel, cutting token usage by 12% to 23% and running 2x to 2.8x faster than Gemini 3.8 Flash.

Google DeepMind demonstrated Gemini 4 Hydrogen building WebGL2 front-end applications, creating animated pixel art inside Google Sheets using Python formulas, and generating audited presentation decks in Google Slides from YouTube video links. For dynamic workflows, Orchestrator in Google Antigravity pairs Carbon as a coordinator with Hydrogen as a worker agent to run parallel build tasks across isolated workspaces.

**Good for**

- Iterative repository debugging with surgical code updates
- Parallel tool calling and native file batching
- Generating up to 1 million output tokens for long reports
- Multi-model execution alongside Carbon and Argon models

**Not ideal for**

- Deep long-horizon reasoning compared to Carbon or Argon

## How is Gemini 4 Hydrogen used in Google Search?

Google upgraded Google Search globally by making Gemini 4 Hydrogen the default model powering AI Mode and complex queries in AI Overviews. According to Search Engine Roundtable, this integration represents the largest model update to Google Search to date.

The model enhances Search by applying query fan-out techniques to analyze nuanced intent, parse typos, and execute simultaneous subtopic searches. This process connects search users to broader web links while generating adaptive visual responses, structured tables, and custom interactive web tools.

## Gemini 4 Hydrogen benchmarks and performance

Gemini 4 Hydrogen finishes everyday tasks 2.5 times faster than Gemini 3.8 Flash at default high thinking while reducing fabricated claims by more than five times. On Terminal-Bench 4.1, the model achieves a 57% score compared to 18.2% for Gemini 3.8 Flash.

**Gemini 4 Hydrogen benchmark accuracy**

- Agents' Last Exam v1.1: 71.6%
- HLE-Diamond: 58.8%
- Terminal-Bench 4.1: 57%
- Vals Legal Research: 55.8%
- Multimodal Knowledge Agent: 53.4%
- Vals Tax Agent Bench: 52.3%

In benchmark testing, Gemini 4 Hydrogen ranks #5 on Agent Arena for open-ended multi-step tasks. It leads its class on HLE-Diamond at 58.8%, ranks #1 overall on the Vals Tax Agent Bench at 52.3%, ties for #1 on the Vals Legal Research Bench at 55.8%, and scores 53.4% on the Multimodal Knowledge Agent benchmark.

## How to access and use Gemini 4 Hydrogen

Google provides access to Gemini 4 Hydrogen across multiple web interfaces, mobile platforms, and developer toolkits.

1. Use Google Search globally in AI Mode or view AI Overviews for difficult queries.
2. Open the consumer Gemini app or Gemini for business to run multi-turn assistant conversations.
3. Select Gemini 4 Hydrogen inside Google AI Studio or call its API endpoints directly.
4. Log in to Google Antigravity with a Google AI Pro or Ultra account to access multi-model agent tools and Orchestrator.

## Frequently asked questions

### What is Gemini 4 Hydrogen?

Gemini 4 Hydrogen is an AI model released by Google DeepMind on 12 November 2026. It is designed for fast software execution, multi-agent developer tasks, and enhanced web searches.

### How much does Gemini 4 Hydrogen cost?

Gemini 4 Hydrogen costs $1.50 per million input tokens and $7.50 per million output tokens via Google AI Studio and the Gemini API. Subscribers to Google AI Pro and Ultra can access it inside Google Antigravity.

### What is the context window of Gemini 4 Hydrogen?

Gemini 4 Hydrogen features a 1 million-token input context window and can generate up to 1 million output tokens in a single response.

### How does Gemini 4 Hydrogen work in Google Search?

Gemini 4 Hydrogen serves as the default engine for AI Mode and complex AI Overviews in Google Search. It uses query fan-out to run simultaneous subtopic searches, leading to broader links and more visual responses.

### What are the thinking levels in Gemini 4 Hydrogen?

Gemini 4 Hydrogen includes four thinking levels: low, medium, high (default), and xhigh. These settings allow developers to balance model reasoning depth against response speed and token costs.

## Sources

- [Google: Introducing Gemini 4 Hydrogen for Agentic Workflows](https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-hydrogen/)
- [Search Engine Roundtable: Google Search Gets Major Upgrade With Gemini 4 Hydrogen](https://www.seroundtable.com/google-search-gemini-4-hydrogen-42526.html)