Gemini 4 Hydrogen

Released

Gemini 4 Hydrogen is an AI model released by Google on Thursday, Nov 12 2026, 15 days after Gemini 4 Carbon. It has a 1M token context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider.. Benchmark results (shown below) cover AutomationBench (Artificial Analysis), Terminal-Bench-Science 0.1, OSWorld 2.1, Vending-Bench 2 (USD), and Chartography.

API pricing

InputWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it.
$1.50
Cached inputA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again.
$0.075
OutputWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one.
$7.50
  • Output prices include reasoning tokens.
  • The pricing page lists a free tier at no charge. Free-tier content is used to improve Google's products; paid-tier content is not.
  • Context caching is $0.075 per million tokens and applies to implicit caching only. Explicit caching is not supported.
  • The page lists one paid text rate for the whole 1,048,576-token window, with no long-context multiplier.
USD per 1M tokensEvery price here is for one million tokens. A token is roughly three-quarters of a word, so a million tokens is about 750,000 words of text.Model mappingVerified November 12, 2026Read from aistudio.google.com. Click the check to open the source.

Benchmarks

Terminal & CLI

Terminal-Bench-Science 0.1Agentic scientific computing — The same command-line setup as Terminal-Bench, pointed at scientific work: the AI has to drive research tooling and computational workflows through to a result, rather than administer a machine. Version 0.1 is the first release of the task set, and scores run lower than on the general board. Higher is better.
51.4%
#11 of 16

Agentic & tool use

AutomationBench (Artificial Analysis)Business workflows — The same business-workflow test, run by Artificial Analysis rather than by the lab, and graded strict pass@1: a workflow counts only if the whole of it is right on the first attempt. Read it as a separate board from the lab-run AutomationBench scores. Higher is better.
76.1%
#1
OSWorld 2.1Agentic computer use — Can the AI actually operate a computer — clicking, typing, and using real apps — to finish tasks on its own? Version 2.1, in its offline setting. Scores are not comparable with version 2.0. Higher is better.
77.6%offline
#7 of 10

Knowledge work

Vending-Bench 2 (USD)Business simulation — ending bank balance in US dollars in Andon Labs’ vending-business simulation; higher is better
14549
#2 of 2

Multimodal

ChartographyChart tasks — The same chart-centred test with no tools: the AI has to read each chart unaided. Scores run far lower than the with-tools version, so read the two as separate tests. Higher is better.
66.6%no tools
#5 of 15

Compare Gemini 4 Hydrogen with

Gemini 4 Hydrogen

About

Gemini 4 Hydrogen was announced on November 12, 2026 as Google's Gemini 4 model for everyday coding and agentic workflows. The model card describes it as adapted from Gemini 4 Carbon. Google presented Carbon and Argon as the frontier models for long-horizon reasoning, and Hydrogen as the faster model for writing code, running tests and multi-step tasks. The announcement rolled it out the same day to Google AI Studio, the Gemini API, Gemini for business, the Gemini app and Search, and to paid Google AI Pro and Ultra subscribers in Google Antigravity.

Google's model card gives Hydrogen a 1,048,576-token window shared by input and output, with synchronous replies capped at 65,536 tokens and a background long decode up to the full window. Four thinking levels — low, medium, high and xhigh — set the reasoning depth, and high is the default. Google said that default finished tasks 2.5 times faster than Gemini 3.8 Flash. Its launch evaluation reported 77.6% partial credit on the offline subset of OSWorld 2.1, 66.6% on Chartography without tools, and an ending bank balance of $14,549 on Vending-Bench 2. Google also said Hydrogen scored 51 on the Artificial Analysis Intelligence Index at the default high setting, compared with 50 for Argon, and 54 at xhigh. Those index figures are the lab's claim. On the Gemini API pricing page the paid rates were $1.50 per million input tokens and $7.50 per million output tokens, including thinking, with implicit cache reads at $0.075, and a free tier was listed beside them.

Frequently asked questions

Gemini 4 Hydrogen was released by Google on Thursday, Nov 12 2026.

All Google releases

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