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Gemini 4 Hydrogen API Pricing

By Google · 2 providersgemini/gemini-4-hydrogenCompare
Input / output
$1.50 / $7.50 per 1M tokens
Cache read
$0.075 / 1M
Context
1M tokens
Max output
1M tokens

As of November 12, 2026, Gemini 4 Hydrogen costs $1.50 per 1M input tokens and $7.50 per 1M output tokens on Google AI Studio, with cache reads at $0.075 per 1M tokens. It has a 1,048,576-token context window and returns up to 1,048,576 tokens per response.

Prices updated Checked

Gemini 4 Hydrogen pricing by provider

2 listings across 2 providers. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.

Gemini 4 Hydrogen prices by provider in US dollars, token prices per 1M tokens, as of November 12, 2026. Source: LiteLLM model price file.
ProviderModel name in LiteLLMInputOutputCache readBatch inBatch outContext
Google AI Studiogemini/gemini-4-hydrogen$1.50$7.50$0.075$0.75$3.751M
Google Vertex AIvertex_ai/gemini-4-hydrogen$1.50$7.50$0.075$0.75$3.751M

Other Gemini 4 Hydrogen prices on Google AI Studio

Priority input$2.70 per 1M tokens
Priority output$13.50 per 1M tokens
Flex input$0.75 per 1M tokens
Flex output$3.75 per 1M tokens
Web search$14.00 per 1K searches

What Gemini 4 Hydrogen costs in practice

1,000 requests with 2,000 input and 500 output tokens each

Google AI Studio$6.75
Google Vertex AI$6.75
Google AI Studio batch$3.375

100 long-document requests with 100,000 input and 2,000 output tokens each

Google AI Studio$16.50
Google Vertex AI$16.50

Gemini 4 Hydrogen cost calculator

At Google AI Studio's price ($1.50 input, $7.50 output per 1M tokens), 10,000 requests a day with 1,000 input and 500 output tokens each cost $52.50 a day, about $1,575 a month. Change the numbers for your workload, or compare it with other models.

Per request
$0.00525
Per day
$52.50
Per month (30 days)
$1,575

Gemini 4 Hydrogen features

Input: text, image, audio, video. Output: text.

Use Gemini 4 Hydrogen with LiteLLM

Call Gemini 4 Hydrogen through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.

Python SDK
from litellm import completion

response = completion(
    model="gemini/gemini-4-hydrogen",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: gemini-4-hydrogen
    litellm_params:
      model: gemini/gemini-4-hydrogen
      api_key: os.environ/GEMINI_API_KEY
Call the proxy
curl http://0.0.0.0:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $LITELLM_API_KEY" \
  -d '{
    "model": "gemini-4-hydrogen",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Gemini 4 Hydrogen FAQ

How much does Gemini 4 Hydrogen cost?

Gemini 4 Hydrogen costs $1.50 per 1M input tokens and $7.50 per 1M output tokens on Google AI Studio, with cache reads at $0.075 per 1M tokens. Batch requests cost $0.75 per 1M input tokens and $3.75 per 1M output tokens.

What is the context window of Gemini 4 Hydrogen?

Gemini 4 Hydrogen has a 1,048,576-token context window and returns up to 1,048,576 tokens per response.

Which providers offer Gemini 4 Hydrogen?

Gemini 4 Hydrogen is available from 2 providers through LiteLLM: Google AI Studio and Google Vertex AI.

How do I call Gemini 4 Hydrogen with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="gemini/gemini-4-hydrogen", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

What features does Gemini 4 Hydrogen support?

Gemini 4 Hydrogen supports function calling, parallel tool calls, structured output, image input, PDF input, audio input, video input, reasoning, prompt caching, web search and computer use. It does not support audio output.

When did LiteLLM add Gemini 4 Hydrogen?

Gemini 4 Hydrogen was added to LiteLLM's model price file on November 12, 2026.

Compare Gemini 4 Hydrogen

All model comparisons

Sources

Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Maintainers update it from each provider's published pricing, and this page is usually rebuilt within 20 minutes of every change. Provider pricing pages:

LiteLLM docs: Google AI Studio, Google Vertex AI.

Provider pages: Google AI Studio, Google Vertex AI.