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Google launches Gemini 4 Hydrogen at $1.50/$7.50 per million tokens

Google released Gemini 4 Hydrogen, a lower-cost Gemini 4 model from Google DeepMind built for everyday agent loops. Google says it finishes tasks 2.5 times faster than Gemini 3.8 Flash, at a flat $1.50/$7.50 per million tokens. That rate becomes the baseline for 3.8 Flash on 1 January 2027, when its discount ends.

AI illustration of a glowing circuit-city with light trails and silhouetted figures on a walkway
Photo: Gemini / Wikimedia Commons / public domain

The short version

  • Google released Gemini 4 Hydrogen, a proprietary Gemini 4 model built for everyday agent loops and positioned below Carbon and Argon.
  • Google says it completes tasks 2.5 times faster than Gemini 3.8 Flash at the default high thinking level.
  • The API price is $1.50 per million input tokens and $7.50 per million output tokens, flat across the 1M-token window.
  • Gemini 3.8 Flash's $0.75/$3.75 rate ends on 31 December 2026, after which it matches Hydrogen at $1.50/$7.50.
  • Gemini 4 Argon's $2/$10 rate doubles to $4/$20 on 30 November 2026.

Why it matters: Hydrogen resets the price floor for Google's everyday AI work, and its flat rate becomes the benchmark for the rest of the line-up once the 3.8 Flash discount ends on 1 January 2027.

On this page
  1. The short version
  2. Google's benchmarks put Hydrogen ahead of 3.8 Flash
  3. Orchestrator pairs Carbon with Hydrogen
  4. Availability and migration
  5. Sources and further reading
  6. Frequently asked questions

Google released Gemini 4 Hydrogen, a model developed by Google DeepMind for routine agent loops, positioned below its two frontier models, Gemini 4 Carbon and Gemini 4 Argon. Its model ID is gemini-4-hydrogen. Reaching it through Google Antigravity requires a Google AI Pro or Ultra subscription.

Hydrogen finishes tasks 2.5 times faster than Gemini 3.8 Flash at its default high thinking level, according to Google.

Thinking tokens count as output, at $7.50 for each million tokens; input costs $1.50 per million, and neither price changes across the entire one-million-token window.

Google is already running a promotional ladder, with those rates landing inside it. Gemini 3.8 Flash charges $0.75 for input and $3.75 for output until 31 December 2026, while Gemini 4 Argon charges $2 and $10 until 30 November 2026.

ModelInput per 1M tokensOutput per 1M tokensRate applies
Gemini 4 Hydrogen$1.50$7.50Flat across the 1M-token window
Gemini 3.8 Flash$0.75$3.75Until 31 December 2026
Gemini 3.8 Flash from 1 January 2027$1.50$7.50Matches Hydrogen
Gemini 4 Argon$2$10Until 30 November 2026
Gemini 4 Argon from 30 November 2026$4$20Doubles
  • 2.5xFaster than Gemini 3.8 Flash, Google says
  • 57%18.2% for 3.8 FlashTerminal-Bench 4.1 score
  • 24%Less quota used by the Carbon-Hydrogen pairing
  • 5154 at xhighArtificial Analysis Intelligence Index at high thinking

Google

Compared to 3.8 Flash, it finishes tasks 2.5x faster. Also has 4 thinking levels, so you only wait and pay for the reasoning depth a task requires

Sundar PichaiGoogle CEO

Four thinking levels ship with the model: low, medium, high and a new xhigh. High is the default, and a minimal setting now returns an error.

Inputs cover text, images, audio, video, PDFs, tables and charts, while output is text. One million tokens of context are shared by input, thinking and output together.

The model is aimed at research, data analysis and work involving documents, spreadsheets, charts, audio and video. Google said it can sit alongside other models handling coordination, coding, testing and verification.

gemini-4-hydrogen
Illustration: AI-generated

Google's benchmarks put Hydrogen ahead of 3.8 Flash

Terminal-Bench 4.1 gave Hydrogen 57% against 18.2% for Gemini 3.8 Flash, Google said.

According to Google, fabricated claims fell by more than five times against 3.8 Flash, and the model scored 96.7% on an internal agent honesty evaluation.

In partner tests, Hydrogen ran between 2 and 2.8 times faster, Google said. The same tests recorded 12% to 23% fewer tokens.

Google said Hydrogen's score on the Artificial Analysis Intelligence Index was 51 at its default high thinking level, against 50 for Gemini 4 Argon. At the extra-high setting that figure rises to 54, Google said. Hindustan Times wrote that Claude Fable 5.2 leads the same leaderboard on 65, with Gemini 4 Carbon on 60.

Released alongside the model, benchmark tables put Hydrogen against Claude Sonnet 5.5 and GPT-6.1 Terra on three agentic tests. Hydrogen was ahead on each.

BenchmarkGemini 4 HydrogenClaude Sonnet 5.5GPT-6.1 Terra
Agents' Last Exam v1.171.6%60.4%69.8%
HLE-Diamond58.8%53.3%47.3%
SWE-sweep13.5%3.1%5.8%

Orchestrator pairs Carbon with Hydrogen

Inside Google Antigravity, a new feature called Orchestrator hands a single task to more than one model. Carbon explores the problem, resolves ambiguity and writes the plan; Hydrogen edits files, updates packages and runs tests.

The Carbon-Hydrogen pairing reached near-Carbon success rates on Terminal-Bench while using 24% less quota and finishing 19% faster than Carbon alone, Google said.

While our frontier models, Gemini 4 Carbon and Gemini 4 Argon, excel at deep, long-horizon reasoning on your hardest problems, Hydrogen is built for rapid execution across diverse agentic workflows

Koray Kavukcuoglusenior vice president at Google DeepMind

Hydrogen is built to stand on its own as a model for everyday work — or to pair with Carbon and Argon as the high-efficiency execution engine in multi-model workflows

Koray Kavukcuoglusenior vice president at Google DeepMind

Google claims 2.3 times more resilience to indirect prompt injection on Gray Swan's benchmark. It also says the model is two times less likely to circumvent permission boundaries than 3.8 Flash, and reduces excessive actions in agentic tasks by up to 81%.

Gemini 4 Hydrogen brings improvements from our latest Gemini 4 safety and security stack to our broadest audience yet, combining built-in training with real-time surface safeguards to help mitigate both misalignment and misuse

Koray KavukcuogluSVP, Google DeepMind and Chief AI Architect, Google

Availability and migration

Free users of the Gemini app see Hydrogen only through automatic model selection, when Google judges it fits the prompt; AI Pro and Ultra subscribers can choose it manually. Inside Google Sheets, Gemini remains limited to those two paid tiers.

Moving a workload off 3.8 Flash means dropping the temperature, top_p and top_k settings, removing cached_content fields and raising hardcoded max_output_tokens caps to 65,536.

For prompts of at least 4,096 tokens, implicit caching lowers the input price to $0.075 per million tokens. Explicit caching isn't available.

Adapted from Gemini 4 Carbon, the model has a knowledge cutoff of March 2026, according to Google. The company doesn't disclose its parameter count, architecture or training hardware.

Hallucination remains a problem, as it does for generative AI agents generally. Google said work on jailbreak resistance is continuing.

Google Cloud documentation lists Hydrogen as generally available, in the category of a short-term release.

What we know

  • Gemini 4 Hydrogen is priced at $1.50 per million input tokens and $7.50 per million output tokens, flat across the 1M-token window.
  • Google lists the model as generally available in its Cloud documentation.
  • Free Gemini app users reach Hydrogen only through automatic model selection; AI Pro and Ultra subscribers can pick it manually.

Still unclear

  • Whether Gemini 4 Hydrogen will be offered on Vertex AI.
  • Why Google Cloud documentation labels it a short-term release.
  • Hydrogen's parameter count, architecture and training hardware, which Google does not disclose.

Gemini 4 Argon's promotional $2/$10 rate ends on 30 November 2026. It then doubles to $4/$20.

Gemini 3.8 Flash's $0.75/$3.75 rate ends on 31 December 2026. From 1 January 2027, it rises to Hydrogen's $1.50/$7.50.

  1. 30 November 2026Argon doubles

    Gemini 4 Argon moves from $2/$10 to $4/$20 per million tokens.

  2. 31 December 2026Flash discount expires

    Gemini 3.8 Flash's $0.75/$3.75 rate ends.

  3. 1 January 2027Flash matches Hydrogen

    Gemini 3.8 Flash rises to $1.50/$7.50, the Hydrogen rate.

Sources and further reading

  1. Google Releases Gemini 4 Hydrogen: 2.5x Faster Than Gemini 3.8 Flash (opens in a new tab) Marktechpost
  2. Google Launches Gemini 4 Hydrogen for Faster Coding and AI Workflows (opens in a new tab) Analyticsindiamag
  3. Google unveils Gemini 4 Hydrogen, its new AI model built for speed (opens in a new tab) Mashable
  4. Google launches Gemini 4 Hydrogen AI model: Know features, price, and more (opens in a new tab) Business Standard
  5. Google’s Gemini Hydrogen is a considerable leap for lighter, workhorse AI models (opens in a new tab) Hindustan Times
  6. Google rolls out Gemini 4 Hydrogen with 2.5x speed boost, four reasoning levels (opens in a new tab) The Economic Times

This article was prepared by the GlobePrism editorial team from the public reporting linked above. How we report

Frequently asked questions

How much does Gemini 4 Hydrogen cost?

Google lists $1.50 per million input tokens and $7.50 per million output tokens. The rate is flat across the full one-million-token window, and thinking tokens are charged at the output price.

How fast is Gemini 4 Hydrogen compared with Gemini 3.8 Flash?

Google says it finishes tasks 2.5 times faster at the default high thinking level. In partner tests the company reports 2 to 2.8 times the speed with 12% to 23% fewer tokens.

When does Gemini 3.8 Flash get more expensive?

The $0.75/$3.75 rate runs until 31 December 2026. From 1 January 2027 Flash is priced at $1.50/$7.50, matching Hydrogen.

Can free Gemini app users pick Gemini 4 Hydrogen?

Not directly. Free users are given the model through automatic selection when Google judges it suits the prompt, while AI Pro and Ultra subscribers choose models themselves.

Does Gemini 4 Hydrogen support explicit caching?

No. Implicit caching lowers input to $0.075 per million tokens for prompts of 4,096 tokens or more.

What happens when moving a workload from Gemini 3.8 Flash?

Developers must remove temperature, top_p and top_k, drop cached_content fields and raise hardcoded max_output_tokens caps to 65,536.