Privateer

Gemini 4 Hydrogen

by Google

Zero data retentionNew
google/gemini-4-hydrogen
Use it in the app Call it from code
Input
$2.10/1M tokens
Output
$10.50/1M tokens
Context
1Mtokens
Max output
944Ktokens
Knows to
-
Released
12 Nov 2026

About

Gemini 4 Hydrogen is the high-efficiency workhorse model of the Gemini 4 family from Google, built for high-throughput agentic workflows, coding and multi-model routing at lower cost and latency than...

Pricing

Input$2.10per 1M prompt tokens
Output$10.50per 1M generated tokens, reasoning included
Cached input$0.10per 1M tokens read back from the prompt cache
Cache write$0.12per 1M tokens written to the prompt cache
Web search$0.020per request that uses the provider’s built-in search

What a request costs

Typical requestEachPer 1,000
Short chat reply1,500 in · 400 out$0.0073$7.35
Question over a long document40,000 in · 800 out$0.092$92.40
Agent tool step20,000 in · 1,200 out$0.055$54.60

At the developer-API rate, before any provider promotion or prompt-cache saving. In the app, the model picker shows what a message costs on your plan before you send it.

Benchmarks

Head-to-head rankings

  1. #73DModel arenaElo 142267% wins
  2. #7Game devModel arenaElo 136757% wins
  3. #7WebsitesModel arenaElo 132158% wins
  4. #12pdfAgent arenaElo 122555% wins

Rankings from Design Arena head-to-head votes. Published by OpenRouter alongside its catalogue.

Call it from code

OpenAI-compatible: point any OpenAI SDK at https://api.privateer.pro/v1 and set model. Keys are created in the app under Settings.

cURL
curl https://api.privateer.pro/v1/chat/completions \
  -H "Authorization: Bearer $PRIVATEER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/gemini-4-hydrogen",
    "messages": [{ "role": "user", "content": "Hello" }]
  }'
Python
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.privateer.pro/v1",
    api_key=os.environ["PRIVATEER_API_KEY"],
)
reply = client.chat.completions.create(
    model="google/gemini-4-hydrogen",
    messages=[{"role": "user", "content": "Hello"}],
)
print(reply.choices[0].message.content)
JavaScript
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.privateer.pro/v1",
  apiKey: process.env.PRIVATEER_API_KEY,
});
const reply = await client.chat.completions.create({
  model: "google/gemini-4-hydrogen",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(reply.choices[0].message.content);

Parameters this model accepts

include_reasoningmax_tokensreasoningreasoning_effortresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_p

API reference → · How API billing works →

Prices are USD at the developer-API rate, as of 14 Nov 2026, rebuilt daily from the providers’ live catalogues. ← All models