Google Releases Gemini 4 Hydrogen for Coding and Agent Workflows
Google has launched Gemini 4 Hydrogen, targeting everyday coding and agentic workflows at $1.50 per million input tokens and $7.50 per million output tokens, covering the full 1M-token context with no tiered pricing. Versus Gemini 3.8 Flash it completes tasks 2.5x faster at the default high thinking level and lifts Terminal-Bench 4.1 from 18.2% to 57%, alongside an Orchestrator feature that dynamically switches between Carbon and Hydrogen within a session.
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IT Home November 13 news, Google officially launched the Gemini 4 Hydrogen model, focused on fast execution and efficient operation, aimed at everyday coding and agent workflow scenarios, bringing the full capabilities of the Gemini 4 series to users at all tiers.

- Input: $1.50 per million Tokens (IT Home note: approximately 10.0 RMB at current exchange rates)
- Output: $7.50 per million Tokens (approximately 50.1 RMB at current exchange rates)
This pricing covers the full 1 million Token context window, with no tiered pricing. On the Artificial Analysis Intelligence Index, Hydrogen scores 51 at the default high thinking level, higher than Gemini 4 Argon's 50, and can reach up to 54 at the highest xhigh level, while task completion speed is often better than models of the same class.
Google simultaneously launched the Orchestrator intelligent scheduling feature, built into the Google Antigravity platform, which can automatically switch dynamically between models such as Carbon and Hydrogen within the same session. In the Terminal-Bench 4.0 test, this scheduling solution achieved a task success rate close to Carbon while reducing average quota consumption by 24% and improving completion speed by 19%.
Compared with the previous generation Gemini 3.8 Flash, Hydrogen improves task completion speed by 2.5 times at the default high thinking level, raises the Terminal-Bench 4.1 score from 18.2% to 57%, and reduces the hallucination error rate by more than 5 times.
The model offers four thinking depth levels: low, medium, high (default), and xhigh, allowing flexible adjustment of reasoning depth, latency, and cost according to task requirements; it supports up to 1 million Tokens of native input and 1 million Tokens of output, and can handle multimodal content such as large PDFs, tables, charts, audio, and video.
In terms of safety, Hydrogen reduces unauthorized actions in agent tasks by up to 81%, reduces under-service issues by 79%, and reduces inaccurate behavior and task shortcut-taking in tool-calling and coding scenarios by 12 times; it scores 96.7% on internal agent honesty evaluations, retains 99.9% of its chain of thought, and improves resilience against indirect prompt injection on the Gray Swan IPI benchmark by more than 2.3 times.
Starting from the launch date, Hydrogen is being rolled out globally: developers can access it through the Gemini API, AI Studio, and paid tiers of Android Studio; enterprises can deploy it through Gemini for Business, Google Antigravity, and Gemini in spreadsheets; ordinary users can select the model from the dropdown in the Gemini app, and free users in automatic model selection mode can also receive appropriately matched Hydrogen capabilities, while Google Search is also integrating the model to upgrade the experience.