Speed
Google says it finishes tasks 2.5 times faster than Gemini 3.8 Flash at its default thinking level, and partners measured 2 to 2.8 times faster runs.
The Gemini 4 Hydrogen API, Google's fast Gemini 4 model for everyday coding and agents, 60% below Google's list price
gemini-4-hydrogenUpdated from openai import OpenAIclient = OpenAI( base_url="https://api.zurelay.com/v1", api_key="YOUR_ZURELAY_KEY",)stream = client.chat.completions.create( model="gemini-4-hydrogen", messages=[ {"role": "user", "content": "Explain quicksort briefly."}, ], stream=True,)for chunk in stream: if chunk.choices: print(chunk.choices[0].delta.content or "", end="")Base URL https://api.zurelay.com/v1. Works with any OpenAI SDK. Chat API docs
Pricing
Pay as you go from prepaid credit, with no subscription. Top up from $10. Requests that fail are never billed.
| Rate | Zurelay | Google list | You save |
|---|---|---|---|
Input per 1M tokens | $0.60 | 60%off | |
Output per 1M tokens | $3.00 | 60%off | |
Cached input per 1M tokens | $0.03 | 60%off |
One rate at every prompt length, up to the full 1M context window. Streaming, tool calls and structured outputs cost nothing extra.
Every Gemini model and priceMove the sliders to your monthly usage.
$1,080 a year
Cost
Typical workloads at Zurelay's live prices next to the list price, and what other places charge for the same model.
50,000 requests a month, 1,500 tokens in and 300 out, 30% of the input cached. $0.00154 a request.
20,000 requests a month, 8,000 tokens in and 500 out, 20% of the input cached. $0.00539 a request.
5,000 requests a month, 40,000 tokens in and 1,500 out, 85% of the input cached. $0.00912 a request.
1,000,000 requests a month, 400 tokens in and 5 out. $0.000255 a request.
Prices per 1M tokens
| Seller | Input | Output | vs Google |
|---|---|---|---|
Google List price, direct | $1.50 | $7.50 | — |
List price, plus 5.5% on card top-ups | $1.50 | $7.50 | +5.5% |
Zurelay No fee to add credit | $0.60 | $3.00 | 60%off |
OpenRouter's fee as its pricing page listed it on October 28, 2026. Zurelay's prices are live. Some labs also discount batch or off-peak requests.
Overview
Gemini 4 Hydrogen is Google's fast, efficient Gemini 4 model for everyday coding and agentic workflows, released on November 12, 2026. The Zurelay Gemini 4 Hydrogen API serves it through one OpenAI-compatible endpoint with a 1M-token context window, at 60% below Google's list price.
Google released Gemini 4 Hydrogen on November 12, 2026, as gemini-4-hydrogen in the Gemini API and Google AI Studio. It takes the place of the Flash name in the Gemini 4 line: Google built it for rapid execution, and leaves deep, long-horizon reasoning to its frontier models. On Zurelay the model ID is gemini-4-hydrogen and it costs $0.60 per 1M input tokens and $3.00 per 1M output tokens.
Google says Hydrogen finishes tasks 2.5 times faster than Gemini 3.8 Flash at its default thinking level, and reports 57% on Terminal-Bench 4.1 against 18.2% for Gemini 3.8 Flash. It scores 51 on the Artificial Analysis Intelligence Index, one point above Gemini 4 Argon, 52.3% on the Vals Tax Agent Bench, first overall, and 55.8% on the Vals Legal Research Bench, tied for first. In early partner tests on SQL and data-heavy workflows it ran 2 to 2.8 times faster than 3.8 Flash and used 12% to 23% fewer tokens.
The context window is 1,048,576 tokens shared by input and output, with up to 65,536 output tokens per response. On Zurelay the model reads text, images, audio and PDFs and writes text. Thinking is built in, at low, medium or high; Zurelay uses medium unless you set reasoning_effort. It supports function calling and structured outputs, and Google caches repeated prompt prefixes automatically, so cached input bills at $0.03 per 1M tokens. Thinking tokens bill as output.
Google's price is $1.50 input and $7.50 output per 1M tokens, the same at every prompt length. Google also reports that Hydrogen is steadier in agent work than 3.8 Flash: up to 81% less overreach, up to 79% less under-service, and half as likely to go around a permission boundary when a task is blocked.
Strengths
Google says it finishes tasks 2.5 times faster than Gemini 3.8 Flash at its default thinking level, and partners measured 2 to 2.8 times faster runs.
57% on Terminal-Bench 4.1, against 18.2% for Gemini 3.8 Flash, for agents that work through a shell and a codebase.
52.3% on the Vals Tax Agent Bench, first overall, and 55.8% on the Vals Legal Research Bench, tied for first.
Up to 81% less overreach and up to 79% less under-service than Gemini 3.8 Flash in Google's agentic tests.
Use cases
Edits, reviews, tests and terminal work in coding tools, where a fast answer matters on every step.
The model that runs and checks the steps while a larger model plans, which is how Google pairs it with its frontier models.
Queries, charts and spreadsheet-style analysis, where Google's partners saw faster runs and fewer tokens.
Read contracts, reports or a codebase in up to 1,048,576 tokens and answer questions across them.
Get started
No waitlist and no new SDK. If your code already talks to OpenAI, it already talks to Zurelay.
Sign up, add credit and create an API key. Set a monthly budget or a rate limit per key if you like.
Change the base URL. Everything else in your code stays the same.
https://api.zurelay.com/v1Send chat completions as usual. Streaming, tool calls and usage reporting work as you expect.
gemini-4-hydrogenWorks with the tools you already use
Compare
$0.80 / $4.00 per 1M tokens
Pick Gemini 4 Argon, Google's frontier model, for the longest and hardest multi-step work.
Gemini 4 Argon API$0.22 / $1.10 per 1M tokens
Pick Gemini 3.8 Flash for the same 1M-token context at a lower price per token, with video input.
Gemini 3.8 Flash API$0.25 / $1.25 per 1M tokens
Pick GPT-6.1 Terra to compare OpenAI's mid-tier model on everyday coding and agent work.
GPT-6.1 Terra APIOn Zurelay, gemini-4-hydrogen costs $0.60 per 1M input tokens and $3.00 per 1M output tokens, with cached input at $0.03. Google's price is $1.50 input and $7.50 output per 1M, so you save 60%. Thinking tokens bill as output.
Fast, everyday coding and agent work. Google reports 57% on Terminal-Bench 4.1, 52.3% on the Vals Tax Agent Bench and 55.8% on the Vals Legal Research Bench, and says it finishes tasks 2.5 times faster than Gemini 3.8 Flash.
Install the official openai package, set base_url to https://api.zurelay.com/v1 and use your Zurelay API key. Then send a Chat Completions request with model set to "gemini-4-hydrogen". Images, PDFs and audio go in the message as data or links.
Gemini 4 Hydrogen has a 1,048,576-token context window shared by input and output, and writes up to 65,536 output tokens per response. On Zurelay it accepts text, image, audio and PDF input and writes text.
The model thinks before it answers. On Zurelay you pick low, medium or high with reasoning_effort, and medium is used when you don't. Low answers fastest and costs the least; high thinks the longest, so stream long requests. Google's xhigh level is not offered on Zurelay yet.
Use Hydrogen for fast, everyday coding and agent steps at a lower price. Use Argon for the longest and hardest multi-step problems. Both have a 1M-token context window and work with the same Zurelay key, so test them side by side on your own prompts.
In effect, yes. Google released Hydrogen in place of a Gemini 4 Flash model, compares it with Gemini 3.8 Flash throughout its announcement, and uses it for fast, everyday work. Gemini 3.8 Flash stays available on Zurelay at a lower price per token.
Yes, it is Google's Gemini 4 Hydrogen. Responses are sampled, so wording varies between runs, and Zurelay does not promise byte-identical output. Zurelay is independent and is not affiliated with or endorsed by Google.
Create a key in seconds, point the SDK you already use at Zurelay, and every request costs up to 90% less from the first token.