News · SI
Google launches Gemini 4 Hydrogen, a fast model for everyday agents
Google has launched Gemini 4 Hydrogen, a fast agent model, at US$1.50 per million input tokens and US$7.50 per million output tokens. It rolls out across AI Studio, the Gemini API, Gemini for business, the Gemini app and Search, with Antigravity for paid AI Pro and Ultra subscribers.

Google launched Gemini 4 Hydrogen on 12 November 2026, a model for rapid execution on everyday coding and agentic workflows[1]. The post is bylined to Koray Kavukcuoglu, SVP of Google DeepMind and Chief AI Architect at Google. It says Gemini 4 Carbon and Gemini 4 Argon remain the frontier models for deep, long-horizon reasoning, and that Hydrogen is for carrying out diverse agentic work quickly[1]. Spectrum covered Gemini 4 Carbon's wider release on 11 November. Google prices Hydrogen flat across the whole 1 million-token context window, at US$1.50 per million input tokens and US$7.50 per million output tokens[1].
01 / 05
Where it runs, and what a call costs
The rollout is global. Google says it covers all tiers of Google AI Studio, the Gemini API, Gemini for business, the Gemini app and Google Search, plus paid Google AI Pro and Ultra subscribers in Antigravity[1]. Developers can call the API from AI Studio and Android Studio[1][2]. Enterprises can deploy it in Gemini for business, through the API or the model drop-down, in Antigravity, and in Gemini in Google Sheets on an eligible business subscription[1]. The Gemini app lists it in the model drop-down. Search has it for all users. Sheets for individuals starts with AI Pro and Ultra. A footnote says free Gemini app users get Hydrogen through auto model selection, when it is the appropriate model for the prompt[1][3].
Hydrogen can run on its own, across four thinking levels, or beside Carbon and Argon[2]. The levels are low, medium, high (the default) and a new xhigh tier. Google says a task only waits, and only pays, for the reasoning it needs[1].
DeepMind's model card says Hydrogen is adapted from Carbon. It takes text, images, audio and video in a combined window of up to 1 million tokens. A synchronous reply stops at 64K output tokens, and a background long decode can use up to 1 million. The knowledge cutoff is March 2026. The card notes hallucinations, occasional slowness or timeouts, and higher token use at the upper thinking levels[4].
02 / 05
Faster than 3.8 Flash, and Orchestrator
Google says Hydrogen is a major upgrade from Gemini 3.8 Flash. At the default high setting, it says Hydrogen finishes tasks 2.5 times faster, more than triples Terminal-Bench 4.1 (57% against 18.2% for 3.8 Flash), and cuts fabricated claims by more than five times. It also says the model adapts when a tool call fails or a search comes back empty[1].
Orchestrator, new in Antigravity, switches between models such as Carbon and Hydrogen inside one session. On Terminal-Bench 4.0, Google says it reached near-Carbon task success while using 24% less quota on average and finishing 19% faster. Where agents run in parallel, Carbon can coordinate and Hydrogen can power worker and verifier agents in isolated workspaces[1].
03 / 05
Scores Google published
These figures are Google's own claims. On the Artificial Analysis Intelligence Index, Google says Hydrogen surpasses Argon at the default high thinking level, 51 to 50, and reaches 54 at xhigh[1]. The launch post also says Hydrogen leads its class on HLE-Diamond at 58.8%[1].
The November 2026 model card sets Hydrogen beside Claude Sonnet 5.5 and GPT-6.1 Terra. SWE-sweep is 13.5%, against 3.1% and 5.8%. Terminal-Bench 4.1, marked cheating-adjusted, is 57.0% for Hydrogen and 63.9% for Sonnet 5.5, with no Terra figure. HLE-Diamond is 58.8%, against 53.3% and 47.3%[4].
04 / 05
Search, and the safety claims
Robby Stein, VP of Product for Google Search, calls this the biggest model upgrade to Search yet. Hydrogen is on Search globally, for all users[3]. Google says Search can follow a question with several parts, hard-to-understand typos or a highly specific request, and answer each part. Query fan-out runs simultaneous queries across subtopics, which Google says returns a wider set of links. Answers are meant to include more images, comparison tables and custom tools, with more nuance in every supported AI Mode language[3].
Against 3.8 Flash, Google says Hydrogen cuts overreach in agentic tasks by up to 81% and under-service by up to 79%, and cuts misaligned actions and task shortcutting on tool-use and coding evaluations by 12 times. On impossible or blocked tasks it is up to two times less likely to bypass a permission boundary, with a 96.7% honesty rate on an internal evaluation. Chain-of-thought legibility held at 99.9% across more than 200,000 audited turns, with no deceptive reasoning edits. Google also says Hydrogen is more than 2.3 times more resilient on the Gray Swan indirect prompt injection benchmark, and that false refusals on HealthBench Pro stay under 0.4%[1].
The model card says unjustified refusals are higher than on 3.8 Flash, by 5.57 percentage points on a check where lower is better, particularly for multimodal prompts. A full safety and security report is listed as coming soon. Hydrogen showed no material increase in general capability over Argon, so a full suite of critical capability evaluations was not required. It does not reach the CBRN or cybersecurity critical capability levels, though it reaches the alert thresholds for both[4].
05 / 05
Why it matters
Hydrogen is the fast tier under Carbon and Argon, at a flat US$1.50 and US$7.50 across a 1 million-token window, with Orchestrator as Google's way to mix the fast model and the frontier one in a single session[1]. Free users of the Gemini app get Hydrogen when auto model selection chooses it[1]. The scores above are Google's own, and on Terminal-Bench 4.1 the model card lists Claude Sonnet 5.5 higher[4].
Sources
Sources for this story.
FAQ
Frequently asked questions.
01What is Gemini 4 Hydrogen?
It is Google's fast Gemini 4 model for everyday coding and agentic work, announced on 12 November 2026. Google says Gemini 4 Carbon and Gemini 4 Argon remain the frontier models for deep, long-horizon reasoning, and that Hydrogen is for rapid execution. DeepMind's model card says Hydrogen is adapted from Carbon.
02How much does it cost?
Google prices it flat across the 1 million-token context window, at US$1.50 per million input tokens and US$7.50 per million output tokens. Thinking levels are low, medium, high (the default) and xhigh. The model card says a default synchronous reply stops at 64K output tokens, with up to 1 million tokens via background long decode.
03Who can use Gemini 4 Hydrogen?
Google says it is rolling out in Google AI Studio, the Gemini API, including Android Studio, Gemini for business, the Gemini app and Google Search for all users. Paid Google AI Pro and Ultra subscribers can try it in Google Antigravity. Free Gemini app users get it through auto model selection when that selection treats Hydrogen as the right model for the prompt. Gemini in Google Sheets starts with AI Pro and Ultra subscribers, and with eligible business subscriptions.
04How does Google compare it with Gemini 3.8 Flash?
At the default high setting, Google says Hydrogen finishes tasks 2.5 times faster, scores 57% on Terminal-Bench 4.1 against 18.2% for Gemini 3.8 Flash, and cuts fabricated claims by more than five times. Those figures are Google's. The model card lists the Terminal-Bench 4.1 result as cheating-adjusted 57.0%, and lists Claude Sonnet 5.5 at 63.9%.
05What did Google say about safety?
Against Gemini 3.8 Flash, Google says overreach falls by up to 81% and under-service by up to 79%, with a 96.7% score on an internal agent honesty evaluation and false refusals on HealthBench Pro under 0.4%. The model card says unjustified refusals are higher, by 5.57 percentage points, and that a full safety and security report is still to come. It says Hydrogen does not reach the CBRN or cybersecurity critical capability levels, but it does reach the alert thresholds for both.
That’s the story
Building with what’s new?
Spectrum Web Co ships products, places talent, builds social narratives and builds custom business tools as monthly services.
Related stories