Gemini 4 Hydrogen
Google's Gemini 4 Hydrogen is a fast execution model for everyday coding and agentic workflows, with four thinking levels, 1M context, and Orchestrator.
Model Overview
Capabilities, design details, and architectural traits
Gemini 4 Hydrogen - Google's daily driver for agentic workflows
Gemini 4 Hydrogen is the fast, efficient member of Google's Gemini 4 element family. While Gemini 4 Carbon and Gemini 4 Argon are built for deep, long-horizon reasoning on the hardest problems, Hydrogen is designed for rapid execution across everyday coding and agentic workflows. It reaches all tiers of Google AI Studio, the Gemini API, Gemini for business, the Gemini app, Google Search, and Google Antigravity.
| Trait | Detail |
|---|---|
| Role in the Gemini 4 family | High-efficiency execution engine that stands alone for everyday work or pairs with the frontier models Carbon and Argon in multi-model workflows |
| Orchestrator | In Google Antigravity, dynamically switches between Carbon and Hydrogen within a single session instead of routing the whole task to one model |
| Thinking levels | Four dialable reasoning depths: low, medium, high (default), and a new xhigh tier |
| Context window | Native 1 million-token input paired with up to 1 million output tokens |
| Coding style | Focused, surgical edits that leave unrelated files untouched, with native parallel batching of file-read and search calls |
| Agentic resilience | Adapts cleanly when a tool call fails or a search returns empty, and sharply reduces fabricated claims |
Carbon plans, Hydrogen executes
Under Orchestrator, Carbon can start in a read-only phase to explore dependencies, resolve ambiguities, and build a concrete plan, then hand off to Hydrogen to write edits, update packages, and run tests. If Hydrogen hits friction, control returns to Carbon to inspect the state, repair the plan, and resume execution. For parallel agent workflows, Carbon acts as the coordinator while Hydrogen powers worker and verifier agents building and testing changes simultaneously across isolated workspaces.
Benchmark Performance
Independent evaluations · Artificial Analysis
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| Model Details | |||
|---|---|---|---|
| General Info | |||
| Provider | Anthropic | ||
| Release Date | November 12, 2026 | November 9, 2026 | October 28, 2026 |
| Knowledge Cutoff | - | - | - |
| Context & Limits | |||
| Context Window | 1.0M Best Context Window | 1M | 1.0M Best Context Window |
| Pricing (per 1M tokens) | |||
| Input Pricing | $1.50 Best Input Pricing | $8 | $2 |
| Output Pricing | $7.50 Best Output Pricing | $40 | $10 |
| Modalities | |||
| Inputs | textimagefileaudiovideo | textimagefile | text |
| Outputs | text | text | text |
| Benchmarks (0-100) | |||
| Intelligence Index | 53.9 | 64.6 Best Intelligence Index | 60.0 |
| Coding Index | - | - | - |
| Agentic Index | - | - | - |
Benchmark comparison not available
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Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.
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