Gemini 4 Hydrogen pricing and specs

Input costs $1.5 per 1M tokens (124 ₽) and output costs $7.5 per 1M (622 ₽). Google bills the prompt and the completion separately, so the price of a call depends on how long both are. Ruble figures use the Bank of Russia rate of 82.98 ₽ per dollar for November 2026.

List prices are quoted per 1M tokens, so 1,000 tokens cost a thousandth of that: divide $1.5 for input and $7.5 for output by 1,000. The same rates in rubles are 124 ₽ and 622 ₽ per 1M tokens. Both prompt tokens and completion tokens are billed.

The Gemini 4 Hydrogen context window is 1.0M tokens (1,048,576). Everything shares that budget: the system prompt, the dialogue history, attached files and the answer the model writes. The figure comes from the Google model card as of November 2026.

The context window is 1.0M tokens (1,048,576) and a single response is capped at 66K tokens, so longer output has to be generated in parts. Rate limits are set by Google per account and depend on your plan rather than on the model, so they are not listed here.

Providers quote their tariffs in US dollars, so the ruble amounts here are a conversion at the official Bank of Russia rate of 82.98 ₽ per dollar. For Gemini 4 Hydrogen that gives 124 ₽ per 1M input tokens and 622 ₽ per 1M output tokens. When the rate moves, the ruble price moves with it.

Gemini 4 Hydrogen belongs to the Gemini (embeddings and specialized models) family at Google. Models in the Gemini line differ in context size, price per 1M tokens and supported capabilities, so compare them by the numbers on their cards rather than by the name. Every Gemini model is listed on the provider page.

Yes, Gemini 4 Hydrogen declares a reasoning mode: it works through intermediate steps before it answers. Those steps add output tokens, so a call with a long reasoning chain costs more and takes longer than a plain completion. Capabilities declared for the model: reasoning, tool calling, image input, structured output.

The declared capabilities of Gemini 4 Hydrogen are: reasoning, tool calling, image input, structured output. It accepts text, images, video, audio, PDF as input, and every attachment consumes tokens from the shared context window of 1.0M tokens. The list comes from the Google model card and is refreshed with the catalog as of November 2026.