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Google: Gemini 4 Hydrogen

google/gemini-4-hydrogen

Google: Gemini 4 Hydrogen is a 1,048,576-token model served on Composite at $0.938 per million tokens in and $4.69 per million tokens out.

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Specifications

Specifications and pricing as served by Composite
Model IDgoogle/gemini-4-hydrogen
ProviderGoogle AI Studio
Context window1,048,576 tokens
Acceptsaudio, file, image, text, video
Returnstext
Input price$0.938 per million tokens
Output price$4.69 per million tokens
Prompt cachingSupported — cached input is billed at the provider's cache rate, on credits and plans alike
Image input$9.4e-7 per image
Audio input$9.4e-7 per second
Reasoning tokens$4.69 per million tokens
Web search$0.0175 per result
ThinkingAlways on for this model
ModeratedNo
Cost on a monthly planAbout 9.8 plan credits per typical call (8k in, 1k out)
Routing endpoints2 (base plus 1 routing variant)

Use Google: Gemini 4 Hydrogen in JanitorAI or SillyTavern

Make a Composite API key and type google/gemini-4-hydrogen as the model name. JanitorAI takes the full URL https://composite.lucidity.sh/v1/chat/completions; SillyTavern, ChubAI, Agnai and RisuAI take https://composite.lucidity.sh/v1. It runs on credits, a plan, or your own provider key.

JanitorAI setup · SillyTavern setup · Best Janitor AI proxies compared

Measured on Composite

This model has not carried enough traffic on Composite yet to publish a success rate, a latency figure or a traffic rank. The numbers appear here once it has.

Routing variants

The same model behind 1 alternative endpoint. Call the id directly to pin a route; the base id above picks for you.

RouteModel IDProviderPrice
cheapThink google/gemini-4-hydrogen:cheapThink Google AI Studio $0.938 per million tokens input · $4.69 per million tokens output

Pricing

$0.938 per million tokens input · $4.69 per million tokens output

Credits pay the provider’s price plus 25%; cache hits cost less.

On a monthly plan, a typical call (8k tokens in, 1k out) uses about 9.8 plan credits, at the provider's own price.

Provider

Google AI Studio

Roleplay fit

Gemini models combine large context windows with fast throughput, which keeps response times low even in busy group chats.

Context behavior

With a 1,048,576-token context window, it can hold a long-running roleplay or a full lorebook in memory without losing earlier plot details, so it suits multi-session campaigns and character cards with heavy backstory.

Cost for regular use

It sits in the mid-range on price, a reasonable pick for regular roleplay use without going for the cheapest option available.

From the provider

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...

Supplied by Google AI Studio, not written by Composite.