Google Launches Gemini 4 Hydrogen for Agentic Workflows

Google has introduced Gemini 4 Hydrogen, a model built for rapid execution across diverse agentic workflows. The announcement was made by Koray Kavukcuoglu, SVP of Google DeepMind and Chief AI Architect at Google, on November 12, 2026.

Model Capabilities and Pricing

Gemini 4 Hydrogen is designed to stand on its own as a model for everyday work or to pair with frontier models like Gemini 4 Carbon and Gemini 4 Argon as a high-efficiency execution engine in multi-model workflows. Google states that Hydrogen surpasses Argon on the Artificial Analysis Intelligence Index at its default high thinking level, scoring 51 versus 50, and reaching 54 at its highest xhigh thinking setting.

The model is priced flat across its entire 1 million-token context window at $1.50 per million input tokens and $7.50 per million output tokens. It pairs native 1 million-token input with up to 1 million output tokens.

Orchestrator and Multi-Model Workflows

To make multi-model collaboration automatic, Google is introducing Orchestrator in Google Antigravity. Orchestrator dynamically switches between models like Carbon and Hydrogen within the same session. On Terminal-Bench 4.0, Orchestrator reached near-Carbon task success rates while, on average, consuming 24% less quota and completing 19% faster. For workflows that require parallel agents, Carbon can act as the coordinator while Hydrogen can power worker and verifier agents to build and test changes simultaneously across isolated workspaces.

Performance Benchmarks

Hydrogen is a major standalone upgrade for teams migrating from Gemini 3.8 Flash. It finishes tasks 2.5 times faster at its high default setting while more than tripling Terminal-Bench 4.1 scores, reaching 57% versus 18.2%. It also cuts fabricated claims by more than 5x.

On open-ended agentic execution, Hydrogen ranks #5 on Agent Arena, arena.ai’s live benchmark. For deep domain reasoning and analysis, it leads its class on HLE-Diamond at 58.8%, ranks #1 overall on Vals Tax Agent Bench at 52.3%, ties for #1 on the Vals Legal Research Bench at 55.8%, and leads its class on AutomationBench-AA. It outperforms other models on the new Multimodal Knowledge Agent (MKA) benchmark at 53.4% for end-to-end agentic knowledge work over complex visual files, and on Agents’ Last Exam v1.1 at 71.6% for end-to-end professional workflows.

Safety and Security

Gemini 4 Hydrogen brings improvements from the latest Gemini 4 safety and security stack. It reduces overreach in agentic tasks by up to 81% and under-service by up to 79%, and cuts misaligned actions and task shortcutting across tool-use and coding evaluations by 12x. When faced with impossible or blocked tasks, it is up to 2x less likely to bypass permission boundaries and achieves a 96.7% honesty rate on an internal agent honesty evaluation.

Hydrogen preserves 99.9% chain-of-thought legibility with zero deceptive reasoning edits across more than 200,000 audited turns. Against indirect prompt injection attacks, Hydrogen is more than 2.3x more resilient on the Gray Swan IPI benchmark. False refusals on HealthBench Pro are kept under 0.4%.

Availability

Starting November 12, 2026, Hydrogen is rolling out globally across developer, enterprise, and consumer surfaces. For developers, it is available via the Gemini API in AI Studio and Android Studio, and paid Google AI Pro and Ultra subscribers can try it in Google Antigravity. For enterprises, it can be deployed in Gemini for business via the API or model drop down, Google Antigravity, and in Gemini in Google Sheets for eligible business subscriptions. For everyone, it is available in the Gemini app model drop down and in Google Search for all users, and in Gemini in Google Sheets starting with Google AI Pro and Ultra subscribers.

来源（英文）

• blog.google: Introducing Gemini 4 Hydrogen for Agentic Workflows

本文由人工智能翻译自英文原文，并经过自动审核，确保与原文意思一致。来源已用英文核实。