Google describes Hydrogen for coding and agentic workflows
Google describes Hydrogen as a fast and efficient model for everyday coding and agentic workflows.

Key takeaways · 4
- 01
Google positions Hydrogen for fast coding and agentic workflows, rather than the long-horizon reasoning it associates with Carbon and Argon.
- 02
Google AI Studio access is available for all tiers; developers can also build with Hydrogen through the Gemini API and Android Studio.
- 03
Google lists Hydrogen input at $1.50 and output at $7.50 per million tokens, with flat pricing across its one-million-token context window.
- 04
Google says its Orchestrator achieved near-Carbon task-success rates on Terminal-Bench 4.0 while reducing average quota consumption and completion time.
What Google is offering
Google describes Hydrogen as a fast, efficient model for everyday coding and agentic workflows, built for rapid execution.[1] The company positions it against Gemini 4 Carbon and Argon, which it says excel at deep, long-horizon reasoning.[1] Developers can build with Hydrogen through the Gemini API, Google AI Studio and Android Studio, and Google says AI Studio access is available for all tiers.[1][2] Google says enterprises can deploy it through Gemini for business and Google Antigravity; everyone can access it in Google Search and the Gemini app’s model dropdown.[2]
Access depends on the product
Google says paid Google AI Pro and Ultra subscribers can use Hydrogen in Google Antigravity.[2] That is a narrower access condition than Google AI Studio’s all-tier availability, while the Gemini app model dropdown and Google Search are described as available to everyone.[1][2] The range of access routes gives teams several ways to evaluate or use the model, but the available options depend on the service and audience.[1][2]
Benchmarks and reported results
Google says Hydrogen scored 51 on the Artificial Analysis Intelligence Index at its default high thinking level, compared with Argon’s 50; at the highest xhigh setting, Hydrogen’s score reached 54.[1] Google also says Hydrogen completed tasks 2.5 times faster at its high default setting.[1] On Terminal-Bench 4.1, Google reports scores of 57% versus 18.2%, describing the result as more than triple, and says fabricated claims were cut by more than five times.[1] These are company-reported results tied to named tests or settings, not evidence here of performance across every workload.
Pricing and orchestration
Google prices Hydrogen input at $1.50 per million tokens and output at $7.50 per million tokens, with pricing flat across its one-million-token context window.[1] Its Orchestrator dynamically switches between models such as Carbon and Hydrogen within the same session.[1] Google says Antigravity’s Orchestrator reached near-Carbon task-success rates on Terminal-Bench 4.0, with average quota consumption 24% lower and tasks completed 19% faster.[1] Separately, Business Insider reports that Google staff received Hydrogen access through the company’s internal Jetski platform, and quotes an engineer calling it “very capable, fast and efficient.”[3]
For teams choosing a model for coding or agentic work, the useful decision is not simply whether Hydrogen is faster, but whether its reported speed, benchmark results, access route and token costs fit a specific workload. Treat the benchmark and efficiency figures as Google-reported results, then validate them against your own tasks and usage patterns.
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How this developed
12 November 2026
Google describes Hydrogen for coding and agentic workflows
Sources
- Introducing Gemini 4 Hydrogen for Agentic Workflowsblog.google
- Google DeepMind on X: \"Now rolling out for: Developers: Build with the Gemini API in @GoogleAIStudio and Android Studio, and in Google @Antigravity for paid Google AI Pro and Ultra subscribers. Enterprises: Deploy via Gemini for business and Google @Antigravity Everyone: Access it in Google Search… / Xx.com
- Google Is Testing a 'Fast' New Gemini 4 AI Model Named Hydrogen - Business Insiderbusinessinsider.com