Newshot Google Releases Gemini 4 Hydrogen Model: Focused on Everyday Coding and Agentic Workflows, $1.5 per Million Input Tokens
IT Home, November 13 news: Google has officially launched the Gemini 4 Hydrogen model, focused on fast execution and efficient operation, aimed at everyday coding and agentic workflow scenarios, bringing Gemini 4 series capabilities fully down to all tiers of users.
- Input: $1.50 per million Tokens (IT Home note: approximately 10.0 yuan RMB at current exchange rates)
- Output: $7.50 per million Tokens (approximately 50.1 yuan 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 often outperforms models of the same tier.
Google has 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 approach 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, and audio/video.
On the safety front, Hydrogen reduces agentic task privilege escalation behavior 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, with a chain-of-thought retention rate of 99.9%, and improves resilience against indirect prompt injection by more than 2.3 times on the Gray Swan IPI benchmark.
Starting from the launch date, Hydrogen is being rolled out globally: developers can access it through the Gemini API, AI Studio, and Android Studio paid tiers; enterprises can deploy it through Gemini for Business, Google Antigravity, and Gemini in spreadsheets; regular 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.
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