Gemini 4 Hydrogen on OpenRouter

Gemini 4 · Google DeepMind

Serverless

Last refreshed 2026-11-13. Next refresh: weekly.

Why use Gemini 4 Hydrogen on OpenRouter?

OpenRouter offers Gemini 4 Hydrogen with pay-as-you-go pricing at $1.50/1M input tokens. OpenRouter is a multi-provider LLM aggregator offering unified API access to 300+ models from all major labs and emerging providers, with automatic failover for reliability.

Compare Gemini 4 Hydrogen across 4 providers to find the best fit for your use case
Input / 1M
$1.50
Output / 1M
$7.50
Cache
read $0.075
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: google/gemini-4-hydrogen
Model ID
google/gemini-4-hydrogen

Request example

Curated snippets for this provider are not sourced yet. Use OpenRouter documentation with model ID google/gemini-4-hydrogen.

Gotchas

  • Use provider model ID "google/gemini-4-hydrogen", not the LLMReference slug "gemini-4-hydrogen".

Compare Gemini 4 Hydrogen Across Providers

ProviderInput (per 1M)Output (per 1M)
Google AI Studio$1.50$7.50
GCP Vertex AI$1.50$7.50
OpenRouter$1.50$7.50
Vercel AI Gateway$1.50$7.50

Pricing

TypePrice (per 1M)
Input tokens$1.50
Output tokens$7.50

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsCode ExecutionPrompt CachingBatch APIAudioVideo

About Gemini 4 Hydrogen

Gemini 4 Hydrogen is Google DeepMind's fast, lower-cost Gemini 4 model, released generally available on November 12, 2026 in the Gemini API, Google AI Studio and Vertex AI (Gemini Enterprise Agent Platform). Google positions it for everyday coding, agentic workflows and multimodal work, alongside Gemini 4 Carbon for the hardest problems; its model card says it is adapted from Gemini 4 Carbon. It takes text, image, video, audio and PDF input and returns text, with a unified 1,048,576-token context window and long decode up to 1,048,576 output tokens (65,536 by default).

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Model Specs

Released2026-11-12
Context1M
Knowledge cutoff2026-03

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